sample_id stringlengths 21 196 | text stringlengths 105 936k | metadata dict | category stringclasses 6
values |
|---|---|---|---|
microsoft/graphrag:packages/graphrag-chunking/graphrag_chunking/chunk_strategy_type.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Chunk strategy type enumeration."""
from enum import StrEnum
class ChunkerType(StrEnum):
"""ChunkerType class definition."""
Tokens = "tokens"
Sentence = "sentence"
| {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-chunking/graphrag_chunking/chunk_strategy_type.py",
"license": "MIT License",
"lines": 8,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-chunking/graphrag_chunking/chunker.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A module containing the 'Chunker' class."""
from abc import ABC, abstractmethod
from collections.abc import Callable
from typing import Any
from graphrag_chunking.text_chunk import TextChunk
class Chunker(ABC):
"""Abstract base cla... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-chunking/graphrag_chunking/chunker.py",
"license": "MIT License",
"lines": 17,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-chunking/graphrag_chunking/chunker_factory.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A module containing 'ChunkerFactory', 'register_chunker', and 'create_chunker'."""
from collections.abc import Callable
from graphrag_common.factory.factory import Factory, ServiceScope
from graphrag_chunking.chunk_strategy_type import ... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-chunking/graphrag_chunking/chunker_factory.py",
"license": "MIT License",
"lines": 58,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-chunking/graphrag_chunking/chunking_config.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Parameterization settings for the default configuration."""
from pydantic import BaseModel, ConfigDict, Field
from graphrag_chunking.chunk_strategy_type import ChunkerType
class ChunkingConfig(BaseModel):
"""Configuration section f... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-chunking/graphrag_chunking/chunking_config.py",
"license": "MIT License",
"lines": 29,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-chunking/graphrag_chunking/create_chunk_results.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A module containing 'create_chunk_results' function."""
from collections.abc import Callable
from graphrag_chunking.text_chunk import TextChunk
def create_chunk_results(
chunks: list[str],
transform: Callable[[str], str] | None... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-chunking/graphrag_chunking/create_chunk_results.py",
"license": "MIT License",
"lines": 27,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-chunking/graphrag_chunking/sentence_chunker.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A module containing 'SentenceChunker' class."""
from collections.abc import Callable
from typing import Any
import nltk
from graphrag_chunking.bootstrap_nltk import bootstrap
from graphrag_chunking.chunker import Chunker
from graphrag_c... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-chunking/graphrag_chunking/sentence_chunker.py",
"license": "MIT License",
"lines": 40,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-chunking/graphrag_chunking/text_chunk.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""The TextChunk dataclass."""
from dataclasses import dataclass
@dataclass
class TextChunk:
"""Result of chunking a document."""
original: str
"""Raw original text chunk before any transformation."""
text: str
"""The... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-chunking/graphrag_chunking/text_chunk.py",
"license": "MIT License",
"lines": 19,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-chunking/graphrag_chunking/token_chunker.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A module containing 'TokenChunker' class."""
from collections.abc import Callable
from typing import Any
from graphrag_chunking.chunker import Chunker
from graphrag_chunking.create_chunk_results import create_chunk_results
from graphrag_... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-chunking/graphrag_chunking/token_chunker.py",
"license": "MIT License",
"lines": 57,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-chunking/graphrag_chunking/transformers.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A collection of useful built-in transformers you can use for chunking."""
from collections.abc import Callable
from typing import Any
def add_metadata(
metadata: dict[str, Any],
delimiter: str = ": ",
line_delimiter: str = "... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-chunking/graphrag_chunking/transformers.py",
"license": "MIT License",
"lines": 19,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-common/graphrag_common/config/load_config.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Load configuration."""
import json
import os
from collections.abc import Callable
from pathlib import Path
from string import Template
from typing import Any, TypeVar
import yaml
from dotenv import load_dotenv
T = TypeVar("T", covariant... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-common/graphrag_common/config/load_config.py",
"license": "MIT License",
"lines": 166,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-common/graphrag_common/factory/factory.py | # Copyright (c) 2025 Microsoft Corporation.
# Licensed under the MIT License
"""Factory ABC."""
from abc import ABC
from collections.abc import Callable
from dataclasses import dataclass
from typing import Any, ClassVar, Generic, Literal, TypeVar
from graphrag_common.hasher import hash_data
T = TypeVar("T", covaria... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-common/graphrag_common/factory/factory.py",
"license": "MIT License",
"lines": 88,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-common/graphrag_common/hasher/hasher.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""The GraphRAG hasher module."""
import hashlib
from collections.abc import Callable
from typing import Any
import yaml
Hasher = Callable[[str], str]
"""Type alias for a hasher function (data: str) -> str."""
def sha256_hasher(data: str... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-common/graphrag_common/hasher/hasher.py",
"license": "MIT License",
"lines": 43,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-input/graphrag_input/csv.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A module containing 'CSVFileReader' model."""
import csv
import io
import logging
import sys
from graphrag_input.structured_file_reader import StructuredFileReader
from graphrag_input.text_document import TextDocument
logger = logging.g... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-input/graphrag_input/csv.py",
"license": "MIT License",
"lines": 33,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-input/graphrag_input/get_property.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Utility for retrieving properties from nested dictionaries."""
from typing import Any
def get_property(data: dict[str, Any], path: str) -> Any:
"""Retrieve a property from a dictionary using dot notation.
Parameters
-------... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-input/graphrag_input/get_property.py",
"license": "MIT License",
"lines": 29,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-input/graphrag_input/hashing.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Hashing utilities."""
from collections.abc import Iterable
from hashlib import sha512
from typing import Any
def gen_sha512_hash(item: dict[str, Any], hashcode: Iterable[str]) -> str:
"""Generate a SHA512 hash.
Parameters
-... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-input/graphrag_input/hashing.py",
"license": "MIT License",
"lines": 21,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-input/graphrag_input/input_config.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Parameterization settings for the default configuration."""
from pydantic import BaseModel, ConfigDict, Field
from graphrag_input.input_type import InputType
class InputConfig(BaseModel):
"""The default configuration section for In... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-input/graphrag_input/input_config.py",
"license": "MIT License",
"lines": 33,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-input/graphrag_input/input_reader.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A module containing 'InputReader' model."""
from __future__ import annotations
import logging
import re
from abc import ABCMeta, abstractmethod
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from collections.abc import AsyncIter... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-input/graphrag_input/input_reader.py",
"license": "MIT License",
"lines": 68,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-input/graphrag_input/input_reader_factory.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A module containing 'InputReaderFactory' model."""
import logging
from collections.abc import Callable
from graphrag_common.factory import Factory
from graphrag_common.factory.factory import ServiceScope
from graphrag_storage.storage imp... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-input/graphrag_input/input_reader_factory.py",
"license": "MIT License",
"lines": 66,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-input/graphrag_input/input_type.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A module containing input file type enum."""
from enum import StrEnum
class InputType(StrEnum):
"""The input file type for the pipeline."""
Csv = "csv"
"""The CSV input type."""
Text = "text"
"""The text input type.... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-input/graphrag_input/input_type.py",
"license": "MIT License",
"lines": 19,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-input/graphrag_input/json.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A module containing 'JSONFileReader' model."""
import json
import logging
from graphrag_input.structured_file_reader import StructuredFileReader
from graphrag_input.text_document import TextDocument
logger = logging.getLogger(__name__)
... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-input/graphrag_input/json.py",
"license": "MIT License",
"lines": 28,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-input/graphrag_input/jsonl.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A module containing 'JSONLinesFileReader' model."""
import json
import logging
from graphrag_input.structured_file_reader import StructuredFileReader
from graphrag_input.text_document import TextDocument
logger = logging.getLogger(__nam... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-input/graphrag_input/jsonl.py",
"license": "MIT License",
"lines": 27,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-input/graphrag_input/markitdown.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A module containing 'TextFileReader' model."""
import logging
from io import BytesIO
from pathlib import Path
from markitdown import MarkItDown, StreamInfo
from graphrag_input.hashing import gen_sha512_hash
from graphrag_input.input_rea... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-input/graphrag_input/markitdown.py",
"license": "MIT License",
"lines": 37,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-input/graphrag_input/structured_file_reader.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A module containing 'StructuredFileReader' model."""
import logging
from typing import Any
from graphrag_input.get_property import get_property
from graphrag_input.hashing import gen_sha512_hash
from graphrag_input.input_reader import In... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-input/graphrag_input/structured_file_reader.py",
"license": "MIT License",
"lines": 57,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-input/graphrag_input/text.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A module containing 'TextFileReader' model."""
import logging
from pathlib import Path
from graphrag_input.hashing import gen_sha512_hash
from graphrag_input.input_reader import InputReader
from graphrag_input.text_document import TextDo... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-input/graphrag_input/text.py",
"license": "MIT License",
"lines": 33,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-input/graphrag_input/text_document.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""TextDocument dataclass."""
import logging
from dataclasses import dataclass
from typing import Any
from graphrag_input.get_property import get_property
logger = logging.getLogger(__name__)
@dataclass
class TextDocument:
"""The Tex... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-input/graphrag_input/text_document.py",
"license": "MIT License",
"lines": 45,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/cache/create_cache_key.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Create cache key."""
from typing import Any
from graphrag_cache import create_cache_key as default_create_cache_key
_CACHE_VERSION = 4
"""
If there's a breaking change in what we cache, we should increment this version number to invalid... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/cache/create_cache_key.py",
"license": "MIT License",
"lines": 57,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/completion/completion.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Completion Abstract Base Class."""
from abc import ABC, abstractmethod
from contextlib import contextmanager
from typing import TYPE_CHECKING, Any, Unpack
from graphrag_llm.threading.completion_thread_runner import completion_thread_runn... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/completion/completion.py",
"license": "MIT License",
"lines": 235,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/completion/completion_factory.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Completion factory."""
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
from graphrag_common.factory import Factory
from graphrag_llm.cache import create_cache_key
from graphrag_llm.config.tokenizer_config impo... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/completion/completion_factory.py",
"license": "MIT License",
"lines": 122,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/completion/lite_llm_completion.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""LLMCompletion based on litellm."""
from collections.abc import AsyncIterator, Iterator
from typing import TYPE_CHECKING, Any, Unpack
import litellm
from azure.identity import DefaultAzureCredential, get_bearer_token_provider
from litellm... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/completion/lite_llm_completion.py",
"license": "MIT License",
"lines": 255,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/completion/mock_llm_completion.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Mock LLMCompletion."""
from typing import TYPE_CHECKING, Any, Unpack
import litellm
from graphrag_llm.completion.completion import LLMCompletion
from graphrag_llm.utils import (
create_completion_response,
structure_completion_r... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/completion/mock_llm_completion.py",
"license": "MIT License",
"lines": 108,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/config/metrics_config.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Metrics configuration."""
from pydantic import BaseModel, ConfigDict, Field, model_validator
from graphrag_llm.config.types import (
MetricsProcessorType,
MetricsStoreType,
MetricsWriterType,
)
class MetricsConfig(BaseModel... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/config/metrics_config.py",
"license": "MIT License",
"lines": 44,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/config/model_config.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Language model configuration."""
import logging
from typing import Any
from pydantic import BaseModel, ConfigDict, Field, model_validator
from graphrag_llm.config.metrics_config import MetricsConfig
from graphrag_llm.config.rate_limit_c... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/config/model_config.py",
"license": "MIT License",
"lines": 86,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/config/rate_limit_config.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""RateLimit configuration."""
from pydantic import BaseModel, ConfigDict, Field, model_validator
from graphrag_llm.config.types import RateLimitType
class RateLimitConfig(BaseModel):
"""Configuration for rate limit behavior."""
... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/config/rate_limit_config.py",
"license": "MIT License",
"lines": 45,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/config/retry_config.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Retry configuration."""
from pydantic import BaseModel, ConfigDict, Field, model_validator
from graphrag_llm.config.types import RetryType
class RetryConfig(BaseModel):
"""Configuration for retry behavior."""
model_config = Co... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/config/retry_config.py",
"license": "MIT License",
"lines": 53,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/config/template_engine_config.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Template engine configuration."""
from pydantic import BaseModel, ConfigDict, Field, model_validator
from graphrag_llm.config.types import (
TemplateEngineType,
TemplateManagerType,
)
class TemplateEngineConfig(BaseModel):
... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/config/template_engine_config.py",
"license": "MIT License",
"lines": 54,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/config/tokenizer_config.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Tokenizer model configuration."""
from pydantic import BaseModel, ConfigDict, Field, model_validator
from graphrag_llm.config.types import TokenizerType
class TokenizerConfig(BaseModel):
"""Configuration for a tokenizer."""
mo... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/config/tokenizer_config.py",
"license": "MIT License",
"lines": 39,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/config/types.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""GraphRAG LLM configuration types."""
from enum import StrEnum
class LLMProviderType(StrEnum):
"""Enum for LLM provider types."""
LiteLLM = "litellm"
MockLLM = "mock"
class AuthMethod(StrEnum):
"""Enum for authenticat... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/config/types.py",
"license": "MIT License",
"lines": 39,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/embedding/embedding.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Completion Abstract Base Class."""
from abc import ABC, abstractmethod
from contextlib import contextmanager
from typing import TYPE_CHECKING, Any, Unpack
from graphrag_llm.threading.embedding_thread_runner import embedding_thread_runner... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/embedding/embedding.py",
"license": "MIT License",
"lines": 165,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/embedding/embedding_factory.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Embedding factory."""
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
from graphrag_common.factory import Factory
from graphrag_llm.cache import create_cache_key
from graphrag_llm.config.tokenizer_config impor... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/embedding/embedding_factory.py",
"license": "MIT License",
"lines": 122,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/embedding/lite_llm_embedding.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""LLMEmbedding based on litellm."""
from typing import TYPE_CHECKING, Any, Unpack
import litellm
from azure.identity import DefaultAzureCredential, get_bearer_token_provider
from graphrag_llm.config.types import AuthMethod
from graphrag_l... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/embedding/lite_llm_embedding.py",
"license": "MIT License",
"lines": 169,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/embedding/mock_llm_embedding.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""MockLLMEmbedding."""
from typing import TYPE_CHECKING, Any, Unpack
import litellm
from graphrag_llm.embedding.embedding import LLMEmbedding
from graphrag_llm.utils import create_embedding_response
if TYPE_CHECKING:
from graphrag_ll... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/embedding/mock_llm_embedding.py",
"license": "MIT License",
"lines": 64,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/metrics/default_metrics_processor.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Default Metrics Processor."""
from typing import TYPE_CHECKING, Any
from graphrag_llm.metrics.metrics_processor import MetricsProcessor
from graphrag_llm.model_cost_registry import model_cost_registry
from graphrag_llm.types import LLMCo... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/metrics/default_metrics_processor.py",
"license": "MIT License",
"lines": 109,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/metrics/file_metrics_writer.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""File metrics writer implementation."""
import json
from collections.abc import Callable
from datetime import datetime, timezone
from pathlib import Path
from typing import TYPE_CHECKING, Any
from graphrag_llm.metrics.metrics_writer impor... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/metrics/file_metrics_writer.py",
"license": "MIT License",
"lines": 27,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/metrics/log_metrics_writer.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Log metrics writer implementation."""
import json
import logging
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
from graphrag_llm.metrics.metrics_writer import MetricsWriter
if TYPE_CHECKING:
from graphra... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/metrics/log_metrics_writer.py",
"license": "MIT License",
"lines": 28,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/metrics/memory_metrics_store.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Default metrics store."""
import atexit
import threading
from typing import TYPE_CHECKING, Any
from graphrag_llm.metrics.metrics_aggregator import metrics_aggregator
from graphrag_llm.metrics.metrics_store import MetricsStore
if TYPE_CH... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/metrics/memory_metrics_store.py",
"license": "MIT License",
"lines": 95,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/metrics/metrics_aggregator.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Metrics aggregator module."""
from collections.abc import Callable
from typing import TYPE_CHECKING, Any, ClassVar
from typing_extensions import Self
if TYPE_CHECKING:
from graphrag_llm.types.types import Metrics
class MetricsAggr... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/metrics/metrics_aggregator.py",
"license": "MIT License",
"lines": 112,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/metrics/metrics_processor.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Metrics processor abstract base class."""
from abc import ABC, abstractmethod
from typing import TYPE_CHECKING, Any
if TYPE_CHECKING:
from collections.abc import AsyncIterator, Iterator
from graphrag_llm.config import ModelConfi... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/metrics/metrics_processor.py",
"license": "MIT License",
"lines": 48,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/metrics/metrics_processor_factory.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Metrics processor factory."""
from collections.abc import Callable
from typing import TYPE_CHECKING
from graphrag_common.factory import Factory
from graphrag_llm.config.types import MetricsProcessorType
from graphrag_llm.metrics.metrics... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/metrics/metrics_processor_factory.py",
"license": "MIT License",
"lines": 60,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/metrics/metrics_store.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Metrics Store."""
from abc import ABC, abstractmethod
from typing import TYPE_CHECKING, Any
if TYPE_CHECKING:
from graphrag_llm.metrics.metrics_writer import MetricsWriter
from graphrag_llm.types import Metrics
class MetricsSto... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/metrics/metrics_store.py",
"license": "MIT License",
"lines": 65,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/metrics/metrics_store_factory.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Metrics store factory."""
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
from graphrag_common.factory import Factory
from graphrag_llm.config.types import MetricsStoreType
from graphrag_llm.metrics.metrics_st... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/metrics/metrics_store_factory.py",
"license": "MIT License",
"lines": 70,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/metrics/metrics_writer.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Metrics writer abstract base class."""
from abc import ABC, abstractmethod
from typing import TYPE_CHECKING, Any
if TYPE_CHECKING:
from graphrag_llm.types import Metrics
class MetricsWriter(ABC):
"""Abstract base class for metr... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/metrics/metrics_writer.py",
"license": "MIT License",
"lines": 24,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/metrics/metrics_writer_factory.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Metrics writer factory."""
from collections.abc import Callable
from typing import TYPE_CHECKING
from graphrag_common.factory import Factory
from graphrag_llm.config.types import MetricsWriterType
from graphrag_llm.metrics.metrics_writ... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/metrics/metrics_writer_factory.py",
"license": "MIT License",
"lines": 68,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/metrics/noop_metrics_store.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Noop metrics store."""
from typing import Any
from graphrag_llm.metrics.metrics_store import MetricsStore
from graphrag_llm.types import Metrics
class NoopMetricsStore(MetricsStore):
"""Noop store for metrics."""
def __init__(... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/metrics/noop_metrics_store.py",
"license": "MIT License",
"lines": 30,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/middleware/with_cache.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Cache middleware."""
import asyncio
from typing import TYPE_CHECKING, Any, Literal
from graphrag_llm.types import LLMCompletionResponse, LLMEmbeddingResponse
if TYPE_CHECKING:
from graphrag_cache import Cache, CacheKeyCreator
f... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/middleware/with_cache.py",
"license": "MIT License",
"lines": 130,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/middleware/with_errors_for_testing.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Error testing middleware."""
import asyncio
import random
import time
from typing import TYPE_CHECKING, Any
import litellm.exceptions as exceptions
if TYPE_CHECKING:
from graphrag_llm.types import (
AsyncLLMFunction,
... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/middleware/with_errors_for_testing.py",
"license": "MIT License",
"lines": 68,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/middleware/with_logging.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Request count middleware."""
import logging
from typing import TYPE_CHECKING, Any
if TYPE_CHECKING:
from graphrag_llm.types import (
AsyncLLMFunction,
LLMFunction,
Metrics,
)
logger = logging.getLogger(__... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/middleware/with_logging.py",
"license": "MIT License",
"lines": 61,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/middleware/with_metrics.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Metrics middleware to process metrics using a MetricsProcessor."""
import time
from typing import TYPE_CHECKING, Any
if TYPE_CHECKING:
from graphrag_llm.config import ModelConfig
from graphrag_llm.metrics import MetricsProcessor
... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/middleware/with_metrics.py",
"license": "MIT License",
"lines": 84,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/middleware/with_middleware_pipeline.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Wraps model functions in middleware pipeline."""
from typing import TYPE_CHECKING, Literal
from graphrag_llm.middleware.with_cache import with_cache
from graphrag_llm.middleware.with_errors_for_testing import with_errors_for_testing
from... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/middleware/with_middleware_pipeline.py",
"license": "MIT License",
"lines": 136,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/middleware/with_rate_limiting.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Rate limit middleware."""
from typing import TYPE_CHECKING, Any
if TYPE_CHECKING:
from graphrag_llm.rate_limit import RateLimiter
from graphrag_llm.tokenizer import Tokenizer
from graphrag_llm.types import (
AsyncLLMF... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/middleware/with_rate_limiting.py",
"license": "MIT License",
"lines": 68,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/middleware/with_request_count.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Request count middleware."""
from typing import TYPE_CHECKING, Any
if TYPE_CHECKING:
from graphrag_llm.types import (
AsyncLLMFunction,
LLMFunction,
Metrics,
)
def with_request_count(
*,
sync_mid... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/middleware/with_request_count.py",
"license": "MIT License",
"lines": 69,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/middleware/with_retries.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Retry middleware."""
from typing import TYPE_CHECKING, Any
if TYPE_CHECKING:
from graphrag_llm.retry import Retry
from graphrag_llm.types import (
AsyncLLMFunction,
LLMFunction,
)
def with_retries(
*,
... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/middleware/with_retries.py",
"license": "MIT License",
"lines": 50,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/model_cost_registry/model_cost_registry.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Model cost registry module."""
from typing import Any, ClassVar, TypedDict
from litellm import model_cost
from typing_extensions import Self
class ModelCosts(TypedDict):
"""Model costs."""
input_cost_per_token: float
outpu... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/model_cost_registry/model_cost_registry.py",
"license": "MIT License",
"lines": 46,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/rate_limit/rate_limit_factory.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Rate limit factory."""
from collections.abc import Callable
from typing import TYPE_CHECKING
from graphrag_common.factory import Factory
from graphrag_llm.config import RateLimitType
from graphrag_llm.rate_limit.rate_limiter import Rate... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/rate_limit/rate_limit_factory.py",
"license": "MIT License",
"lines": 63,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/rate_limit/sliding_window_rate_limiter.py | # Copyright (c) 2025 Microsoft Corporation.
# Licensed under the MIT License
"""LiteLLM Static Rate Limiter."""
import threading
import time
from collections import deque
from collections.abc import Iterator
from contextlib import contextmanager
from typing import Any
from graphrag_llm.rate_limit.rate_limiter import... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/rate_limit/sliding_window_rate_limiter.py",
"license": "MIT License",
"lines": 124,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/retry/exceptions_to_skip.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""List of exception names to skip for retries."""
_default_exceptions_to_skip = [
"BadRequestError",
"UnsupportedParamsError",
"ContextWindowExceededError",
"ContentPolicyViolationError",
"ImageFetchError",
"InvalidR... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/retry/exceptions_to_skip.py",
"license": "MIT License",
"lines": 20,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/retry/exponential_retry.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Exponential backoff retry implementation."""
import asyncio
import random
import time
from collections.abc import Awaitable, Callable
from typing import TYPE_CHECKING, Any
from graphrag_llm.retry.exceptions_to_skip import _default_except... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/retry/exponential_retry.py",
"license": "MIT License",
"lines": 104,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/retry/immediate_retry.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Native (immediate) retry implementation."""
from collections.abc import Awaitable, Callable
from typing import TYPE_CHECKING, Any
from graphrag_llm.retry.exceptions_to_skip import _default_exceptions_to_skip
from graphrag_llm.retry.retry... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/retry/immediate_retry.py",
"license": "MIT License",
"lines": 71,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/retry/retry.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Retry abstract base class."""
from abc import ABC, abstractmethod
from collections.abc import Awaitable, Callable
from typing import Any
class Retry(ABC):
"""Retry Abstract Base Class."""
@abstractmethod
def __init__(self, ... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/retry/retry.py",
"license": "MIT License",
"lines": 25,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/retry/retry_factory.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Retry factory."""
from collections.abc import Callable
from typing import TYPE_CHECKING
from graphrag_common.factory import Factory
from graphrag_llm.config.types import RetryType
from graphrag_llm.retry.retry import Retry
if TYPE_CHEC... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/retry/retry_factory.py",
"license": "MIT License",
"lines": 65,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/templating/file_template_manager.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""In-memory template manager implementation."""
from pathlib import Path
from typing import Any
from graphrag_llm.templating.template_manager import TemplateManager
class FileTemplateManager(TemplateManager):
"""Abstract base class f... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/templating/file_template_manager.py",
"license": "MIT License",
"lines": 61,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/templating/jinja_template_engine.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Jinja template engine."""
from typing import TYPE_CHECKING, Any
from jinja2 import StrictUndefined, Template, UndefinedError
from graphrag_llm.templating.template_engine import TemplateEngine
if TYPE_CHECKING:
from graphrag_llm.tem... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/templating/jinja_template_engine.py",
"license": "MIT License",
"lines": 43,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/templating/template_engine.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Abstract base class for template engines."""
from abc import ABC, abstractmethod
from typing import TYPE_CHECKING, Any
if TYPE_CHECKING:
from graphrag_llm.templating.template_manager import TemplateManager
class TemplateEngine(ABC)... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/templating/template_engine.py",
"license": "MIT License",
"lines": 40,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/templating/template_engine_factory.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Template engine factory implementation."""
from collections.abc import Callable
from typing import TYPE_CHECKING
from graphrag_common.factory import Factory
from graphrag_llm.config.template_engine_config import TemplateEngineConfig
fro... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/templating/template_engine_factory.py",
"license": "MIT License",
"lines": 75,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/templating/template_manager.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Abstract base class for template managers."""
from abc import ABC, abstractmethod
from typing import Any
class TemplateManager(ABC):
"""Abstract base class for template managers."""
@abstractmethod
def __init__(self, **kwar... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/templating/template_manager.py",
"license": "MIT License",
"lines": 51,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/templating/template_manager_factory.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Template manager factory implementation."""
from collections.abc import Callable
from typing import TYPE_CHECKING
from graphrag_common.factory import Factory
from graphrag_llm.config.template_engine_config import TemplateEngineConfig
fr... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/templating/template_manager_factory.py",
"license": "MIT License",
"lines": 63,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/threading/completion_thread.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Completion Thread."""
import threading
from queue import Empty, Queue
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from collections.abc import Iterator
from graphrag_llm.types import (
LLMCompletionArgs,
LL... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/threading/completion_thread.py",
"license": "MIT License",
"lines": 72,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/threading/completion_thread_runner.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Completion Thread Runner."""
import asyncio
import sys
import threading
import time
from collections.abc import Awaitable, Iterator
from contextlib import contextmanager
from queue import Empty, Queue
from typing import TYPE_CHECKING, Pro... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/threading/completion_thread_runner.py",
"license": "MIT License",
"lines": 208,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/threading/embedding_thread.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Embedding Thread."""
import threading
from queue import Empty, Queue
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from graphrag_llm.types import (
LLMEmbeddingArgs,
LLMEmbeddingFunction,
LLMEmbeddingResp... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/threading/embedding_thread.py",
"license": "MIT License",
"lines": 70,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/threading/embedding_thread_runner.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Embedding Thread Runner."""
import asyncio
import sys
import threading
import time
from collections.abc import Awaitable, Iterator
from contextlib import contextmanager
from queue import Empty, Queue
from typing import TYPE_CHECKING, Prot... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/threading/embedding_thread_runner.py",
"license": "MIT License",
"lines": 182,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/tokenizer/tokenizer.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Tokenizer Abstract Base Class."""
from abc import ABC, abstractmethod
from typing import TYPE_CHECKING, Any
if TYPE_CHECKING:
from graphrag_llm.types import LLMCompletionMessagesParam
class Tokenizer(ABC):
"""Tokenizer Abstract... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/tokenizer/tokenizer.py",
"license": "MIT License",
"lines": 89,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/tokenizer/tokenizer_factory.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Tokenizer factory."""
from collections.abc import Callable
from typing import TYPE_CHECKING
from graphrag_common.factory import Factory
from graphrag_llm.config.types import TokenizerType
from graphrag_llm.tokenizer.tokenizer import Tok... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/tokenizer/tokenizer_factory.py",
"license": "MIT License",
"lines": 68,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/types/types.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Types for graphrag-llm."""
from collections.abc import AsyncIterator, Awaitable, Iterator, Sequence
from typing import (
Any,
Generic,
Literal,
Protocol,
Required,
TypeVar,
Unpack,
runtime_checkable,
)
fro... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/types/types.py",
"license": "MIT License",
"lines": 211,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/utils/completion_messages_builder.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""ChatCompletionMessageParamBuilder class."""
from collections.abc import Iterable
from typing import TYPE_CHECKING, Literal
from openai.types.chat.chat_completion_assistant_message_param import (
ChatCompletionAssistantMessageParam,
)... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/utils/completion_messages_builder.py",
"license": "MIT License",
"lines": 281,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/utils/create_completion_response.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Create completion response."""
from graphrag_llm.types import (
LLMChoice,
LLMCompletionMessage,
LLMCompletionResponse,
LLMCompletionUsage,
)
def create_completion_response(response: str) -> LLMCompletionResponse:
""... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/utils/create_completion_response.py",
"license": "MIT License",
"lines": 39,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/utils/create_embedding_response.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Create embedding response utilities."""
from graphrag_llm.types import LLMEmbedding, LLMEmbeddingResponse, LLMEmbeddingUsage
def create_embedding_response(
embeddings: list[float], batch_size: int = 1
) -> LLMEmbeddingResponse:
... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/utils/create_embedding_response.py",
"license": "MIT License",
"lines": 32,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/utils/function_tool_manager.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Function tool manager."""
import json
from collections.abc import Callable
from typing import TYPE_CHECKING, Any, Generic, TypeVar
from openai import pydantic_function_tool
from pydantic import BaseModel
from typing_extensions import Typ... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/utils/function_tool_manager.py",
"license": "MIT License",
"lines": 109,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/utils/gather_completion_response.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Gather Completion Response Utility."""
from collections.abc import AsyncIterator, Iterator
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from graphrag_llm.types import (
LLMCompletionChunk,
LLMCompletionResponse,... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/utils/gather_completion_response.py",
"license": "MIT License",
"lines": 43,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-llm/graphrag_llm/utils/structure_response.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Structure response as pydantic base model."""
import json
from typing import Any, TypeVar
from pydantic import BaseModel
T = TypeVar("T", bound=BaseModel, covariant=True)
def structure_completion_response(response: str, model: type[T]... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-llm/graphrag_llm/utils/structure_response.py",
"license": "MIT License",
"lines": 21,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-storage/graphrag_storage/storage.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Abstract base class for storage."""
import re
from abc import ABC, abstractmethod
from collections.abc import Iterator
from datetime import datetime
from typing import Any
class Storage(ABC):
"""Provide a storage interface."""
... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-storage/graphrag_storage/storage.py",
"license": "MIT License",
"lines": 110,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-storage/graphrag_storage/storage_config.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Storage configuration model."""
from pydantic import BaseModel, ConfigDict, Field
from graphrag_storage.storage_type import StorageType
class StorageConfig(BaseModel):
"""The default configuration section for storage."""
model... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-storage/graphrag_storage/storage_config.py",
"license": "MIT License",
"lines": 37,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-storage/graphrag_storage/storage_factory.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Storage factory implementation."""
from collections.abc import Callable
from graphrag_common.factory import Factory, ServiceScope
from graphrag_storage.storage import Storage
from graphrag_storage.storage_config import StorageConfig
fr... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-storage/graphrag_storage/storage_factory.py",
"license": "MIT License",
"lines": 56,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-storage/graphrag_storage/storage_type.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Builtin storage implementation types."""
from enum import StrEnum
class StorageType(StrEnum):
"""Enum for storage types."""
File = "file"
Memory = "memory"
AzureBlob = "blob"
AzureCosmos = "cosmosdb"
| {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-storage/graphrag_storage/storage_type.py",
"license": "MIT License",
"lines": 10,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-vectors/graphrag_vectors/azure_ai_search.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A package containing the Azure AI Search vector store implementation."""
from typing import Any
from azure.core.credentials import AzureKeyCredential
from azure.identity import DefaultAzureCredential
from azure.search.documents import S... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-vectors/graphrag_vectors/azure_ai_search.py",
"license": "MIT License",
"lines": 337,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-vectors/graphrag_vectors/lancedb.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""The LanceDB vector storage implementation package."""
from typing import Any
import lancedb
import numpy as np
import pyarrow as pa
from graphrag_vectors.filtering import (
AndExpr,
Condition,
FilterExpr,
NotExpr,
Op... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-vectors/graphrag_vectors/lancedb.py",
"license": "MIT License",
"lines": 235,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-vectors/graphrag_vectors/types.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Common types for vector stores."""
from collections.abc import Callable
TextEmbedder = Callable[[str], list[float]]
| {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-vectors/graphrag_vectors/types.py",
"license": "MIT License",
"lines": 5,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-vectors/graphrag_vectors/vector_store.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Base classes for vector stores."""
from abc import ABC, abstractmethod
from collections.abc import Callable
from dataclasses import dataclass, field
from datetime import datetime, timezone
from typing import Any
from graphrag_vectors.fil... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-vectors/graphrag_vectors/vector_store.py",
"license": "MIT License",
"lines": 179,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-vectors/graphrag_vectors/vector_store_config.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Parameterization settings for the default configuration."""
from pydantic import BaseModel, ConfigDict, Field
from graphrag_vectors.index_schema import DEFAULT_VECTOR_SIZE, IndexSchema
from graphrag_vectors.vector_store_type import Vecto... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-vectors/graphrag_vectors/vector_store_config.py",
"license": "MIT License",
"lines": 43,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-vectors/graphrag_vectors/vector_store_factory.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Factory functions for creating a vector store."""
from __future__ import annotations
from typing import TYPE_CHECKING
from graphrag_common.factory import Factory, ServiceScope
from graphrag_vectors.vector_store import VectorStore
from ... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-vectors/graphrag_vectors/vector_store_factory.py",
"license": "MIT License",
"lines": 74,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag-vectors/graphrag_vectors/vector_store_type.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Vector store type enum."""
from enum import StrEnum
class VectorStoreType(StrEnum):
"""The supported vector store types."""
LanceDB = "lancedb"
AzureAISearch = "azure_ai_search"
CosmosDB = "cosmosdb"
| {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag-vectors/graphrag_vectors/vector_store_type.py",
"license": "MIT License",
"lines": 9,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
microsoft/graphrag:packages/graphrag/graphrag/api/query.py | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""
Query Engine API.
This API provides access to the query engine of graphrag, allowing external applications
to hook into graphrag and run queries over a knowledge graph generated by graphrag.
Contains the following functions:
- global_s... | {
"repo_id": "microsoft/graphrag",
"file_path": "packages/graphrag/graphrag/api/query.py",
"license": "MIT License",
"lines": 474,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | license |
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