id int64 0 190k | prompt stringlengths 21 13.4M | docstring stringlengths 1 12k ⌀ |
|---|---|---|
36,845 | import logging
from typing import Any, Dict, List, Optional, cast
from uuid import uuid4
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.schema import BaseNode
from llama_index.legacy.vector_stores.types import (
BasePydanticVectorStore,
MetadataFilters,
VectorStore... | null |
36,846 | import logging
import math
from typing import Any, List
from llama_index.legacy.schema import BaseNode, MetadataMode, TextNode
from llama_index.legacy.vector_stores.types import (
MetadataFilters,
VectorStore,
VectorStoreQuery,
VectorStoreQueryResult,
)
from llama_index.legacy.vector_stores.utils import... | Translate standard metadata filters to Bagel specific spec. |
36,847 | from typing import Any, Dict, List, Optional
from llama_index.legacy.schema import BaseNode, MetadataMode
from llama_index.legacy.vector_stores.types import (
VectorStore,
VectorStoreQuery,
VectorStoreQueryResult,
)
from llama_index.legacy.vector_stores.utils import (
metadata_dict_to_node,
node_to_... | Check if variable is not null and raise error accordingly. |
36,848 | from typing import Any, Dict, List, Optional
from llama_index.legacy.schema import BaseNode, MetadataMode
from llama_index.legacy.vector_stores.types import (
VectorStore,
VectorStoreQuery,
VectorStoreQueryResult,
)
from llama_index.legacy.vector_stores.utils import (
metadata_dict_to_node,
node_to_... | Sort first element to match the index_name if exists. |
36,849 | from typing import Any, Dict, List, Optional
from llama_index.legacy.schema import BaseNode, MetadataMode
from llama_index.legacy.vector_stores.types import (
VectorStore,
VectorStoreQuery,
VectorStoreQueryResult,
)
from llama_index.legacy.vector_stores.utils import (
metadata_dict_to_node,
node_to_... | Convert BaseNode object to a dictionary to be imported into Neo4j. |
36,850 | from typing import Any, Dict, List, Optional
from llama_index.legacy.schema import BaseNode, MetadataMode
from llama_index.legacy.vector_stores.types import (
VectorStore,
VectorStoreQuery,
VectorStoreQueryResult,
)
from llama_index.legacy.vector_stores.utils import (
metadata_dict_to_node,
node_to_... | null |
36,851 | from typing import Any, Dict, List, Optional
from llama_index.legacy.schema import BaseNode, MetadataMode
from llama_index.legacy.vector_stores.types import (
VectorStore,
VectorStoreQuery,
VectorStoreQueryResult,
)
from llama_index.legacy.vector_stores.utils import (
metadata_dict_to_node,
node_to_... | Remove Lucene special characters. |
36,852 | import logging
from typing import Any, List, Optional
import numpy as np
from pandas import DataFrame
from llama_index.legacy.schema import (
BaseNode,
MetadataMode,
NodeRelationship,
RelatedNodeInfo,
TextNode,
)
from llama_index.legacy.vector_stores.types import (
MetadataFilters,
VectorSto... | Translate standard metadata filters to Lance specific spec. |
36,853 | import logging
from typing import Any, List, Optional
import numpy as np
from pandas import DataFrame
from llama_index.legacy.schema import (
BaseNode,
MetadataMode,
NodeRelationship,
RelatedNodeInfo,
TextNode,
)
from llama_index.legacy.vector_stores.types import (
MetadataFilters,
VectorSto... | null |
36,854 | import logging
import uuid
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Sequence, cast
from llama_index.legacy.bridge.pydantic import ( # type: ignore
BaseModel,
Field,
PrivateAttr,
)
from llama_index.legacy.indices.service_context import ServiceContext
from llama_index.legacy.schema import... | Set the configuration for Google Generative AI API. Parameters are optional, Normally, the defaults should work fine. If provided, they will override the default values in the Config class. See the docstring in `genai_extension.py` for more details. auth_credentials: Optional["credentials.Credentials"] = None, Use this... |
36,855 | import logging
import uuid
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Sequence, cast
from llama_index.legacy.bridge.pydantic import ( # type: ignore
BaseModel,
Field,
PrivateAttr,
)
from llama_index.legacy.indices.service_context import ServiceContext
from llama_index.legacy.schema import... | null |
36,856 | import logging
import uuid
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Sequence, cast
from llama_index.legacy.bridge.pydantic import ( # type: ignore
BaseModel,
Field,
PrivateAttr,
)
from llama_index.legacy.indices.service_context import ServiceContext
from llama_index.legacy.schema import... | Returns a list of lists of nodes where each list has all the nodes from the same document. |
36,857 | import logging
import uuid
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Sequence, cast
from llama_index.legacy.bridge.pydantic import ( # type: ignore
BaseModel,
Field,
PrivateAttr,
)
from llama_index.legacy.indices.service_context import ServiceContext
from llama_index.legacy.schema import... | null |
36,858 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,859 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,860 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,861 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,862 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,863 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,864 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,865 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,866 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,867 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,868 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,869 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,870 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,871 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,872 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,873 | import datetime
import logging
import re
from dataclasses import dataclass
from typing import Any, Dict, Iterator, List, MutableSequence, Optional
import google.ai.generativelanguage as genai
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as gapi_exception
from g... | null |
36,874 | import math
from typing import Any, List
from llama_index.legacy.schema import BaseNode, MetadataMode, TextNode
from llama_index.legacy.vector_stores.types import (
MetadataFilters,
VectorStore,
VectorStoreQuery,
VectorStoreQueryResult,
)
from llama_index.legacy.vector_stores.utils import (
legacy_m... | null |
36,875 | import logging
from typing import Any, List, Optional, cast
from llama_index.legacy.schema import BaseNode, MetadataMode, TextNode
from llama_index.legacy.vector_stores.types import (
MetadataFilters,
VectorStore,
VectorStoreQuery,
VectorStoreQueryMode,
VectorStoreQueryResult,
)
from llama_index.leg... | Convert from standard filter to dashvector filter dict. |
36,876 | from typing import Dict, Type
from llama_index.legacy.vector_stores.chroma import ChromaVectorStore
from llama_index.legacy.vector_stores.lantern import LanternVectorStore
from llama_index.legacy.vector_stores.pinecone import PineconeVectorStore
from llama_index.legacy.vector_stores.postgres import PGVectorStore
from l... | null |
36,877 | from typing import Any, Callable, List, Protocol, Tuple, runtime_checkable
from llama_index.legacy.vector_stores.types import VectorStoreQueryResult
SparseEncoderCallable = Callable[[List[str]], Tuple[List[List[int]], List[List[float]]]]
def default_sparse_encoder(model_id: str) -> SparseEncoderCallable:
try:
... | null |
36,878 | from typing import Any, Callable, List, Protocol, Tuple, runtime_checkable
from llama_index.legacy.vector_stores.types import VectorStoreQueryResult
class VectorStoreQueryResult:
"""Vector store query result."""
nodes: Optional[Sequence[BaseNode]] = None
similarities: Optional[List[float]] = None
ids:... | Fuse dense and sparse results using relative score fusion. |
36,879 | import asyncio
import uuid
from logging import getLogger
from typing import Any, Callable, Dict, List, Literal, Optional, Union, cast
import nest_asyncio
import numpy as np
from llama_index.legacy.bridge.pydantic import PrivateAttr
from llama_index.legacy.schema import BaseNode, MetadataMode, TextNode
from llama_index.... | Get AsyncElasticsearch client. Args: es_url: Elasticsearch URL. cloud_id: Elasticsearch cloud ID. api_key: Elasticsearch API key. username: Elasticsearch username. password: Elasticsearch password. Returns: AsyncElasticsearch client. Raises: ConnectionError: If Elasticsearch client cannot connect to Elasticsearch. |
36,880 | import asyncio
import uuid
from logging import getLogger
from typing import Any, Callable, Dict, List, Literal, Optional, Union, cast
import nest_asyncio
import numpy as np
from llama_index.legacy.bridge.pydantic import PrivateAttr
from llama_index.legacy.schema import BaseNode, MetadataMode, TextNode
from llama_index.... | Convert standard filters to Elasticsearch filter. Args: standard_filters: Standard Llama-index filters. Returns: Elasticsearch filter. |
36,881 | import asyncio
import uuid
from logging import getLogger
from typing import Any, Callable, Dict, List, Literal, Optional, Union, cast
import nest_asyncio
import numpy as np
from llama_index.legacy.bridge.pydantic import PrivateAttr
from llama_index.legacy.schema import BaseNode, MetadataMode, TextNode
from llama_index.... | null |
36,882 | from __future__ import annotations
from enum import Enum
from os import getenv
from time import sleep
from types import ModuleType
from typing import Any, List, Type, TypeVar
from llama_index.legacy.schema import BaseNode
from llama_index.legacy.vector_stores.types import (
VectorStore,
VectorStoreQuery,
Ve... | Returns the passed in client object if valid, else constructs and returns one. Returns: The rockset client object (rockset.RocksetClient) |
36,883 | import json
import uuid
from typing import Any, Dict, Iterable, List, Optional, Union, cast
from llama_index.legacy.schema import BaseNode, MetadataMode, TextNode
from llama_index.legacy.vector_stores.types import (
MetadataFilters,
VectorStore,
VectorStoreQuery,
VectorStoreQueryMode,
VectorStoreQue... | Get OpenSearch client from the opensearch_url, otherwise raise error. |
36,884 | import json
import uuid
from typing import Any, Dict, Iterable, List, Optional, Union, cast
from llama_index.legacy.schema import BaseNode, MetadataMode, TextNode
from llama_index.legacy.vector_stores.types import (
MetadataFilters,
VectorStore,
VectorStoreQuery,
VectorStoreQueryMode,
VectorStoreQue... | Bulk Ingest Embeddings into given index. |
36,885 | import json
import uuid
from typing import Any, Dict, Iterable, List, Optional, Union, cast
from llama_index.legacy.schema import BaseNode, MetadataMode, TextNode
from llama_index.legacy.vector_stores.types import (
MetadataFilters,
VectorStore,
VectorStoreQuery,
VectorStoreQueryMode,
VectorStoreQue... | null |
36,886 | import json
import uuid
from typing import Any, Dict, Iterable, List, Optional, Union, cast
from llama_index.legacy.schema import BaseNode, MetadataMode, TextNode
from llama_index.legacy.vector_stores.types import (
MetadataFilters,
VectorStore,
VectorStoreQuery,
VectorStoreQueryMode,
VectorStoreQue... | Check if the service is http_auth is set as `aoss`. |
36,887 | import json
import logging
import os
from dataclasses import dataclass, field
from typing import Any, Callable, Dict, List, Mapping, Optional, cast
import fsspec
from dataclasses_json import DataClassJsonMixin
from llama_index.legacy.indices.query.embedding_utils import (
get_top_k_embeddings,
get_top_k_embeddi... | Build metadata filter function. |
36,888 | import logging
from typing import Any, Dict, Iterable, List, Optional, TypeVar, cast
from llama_index.legacy.indices.query.embedding_utils import (
get_top_k_mmr_embeddings,
)
from llama_index.legacy.schema import BaseNode, MetadataMode
from llama_index.legacy.vector_stores.types import (
ExactMatchFilter,
... | null |
36,889 | import logging
from typing import TYPE_CHECKING, Any, Dict, List, Optional
from llama_index.legacy.schema import (
BaseNode,
MetadataMode,
NodeRelationship,
RelatedNodeInfo,
TextNode,
)
from llama_index.legacy.vector_stores.types import (
MetadataFilters,
VectorStore,
VectorStoreQuery,
... | null |
36,890 | import logging
from typing import TYPE_CHECKING, Any, Dict, List, Optional, cast
from llama_index.legacy.schema import BaseNode, MetadataMode, TextNode
from llama_index.legacy.vector_stores.utils import (
DEFAULT_TEXT_KEY,
legacy_metadata_dict_to_node,
metadata_dict_to_node,
node_to_metadata_dict,
)
Th... | Parse get response from Weaviate. |
36,891 | import logging
from typing import TYPE_CHECKING, Any, Dict, List, Optional, cast
from llama_index.legacy.schema import BaseNode, MetadataMode, TextNode
from llama_index.legacy.vector_stores.utils import (
DEFAULT_TEXT_KEY,
legacy_metadata_dict_to_node,
metadata_dict_to_node,
node_to_metadata_dict,
)
def... | Check if class schema exists. |
36,892 | import logging
from typing import TYPE_CHECKING, Any, Dict, List, Optional, cast
from llama_index.legacy.schema import BaseNode, MetadataMode, TextNode
from llama_index.legacy.vector_stores.utils import (
DEFAULT_TEXT_KEY,
legacy_metadata_dict_to_node,
metadata_dict_to_node,
node_to_metadata_dict,
)
NOD... | Create default schema. |
36,893 | import logging
from typing import TYPE_CHECKING, Any, Dict, List, Optional, cast
from llama_index.legacy.schema import BaseNode, MetadataMode, TextNode
from llama_index.legacy.vector_stores.utils import (
DEFAULT_TEXT_KEY,
legacy_metadata_dict_to_node,
metadata_dict_to_node,
node_to_metadata_dict,
)
def... | Get all properties of a class. |
36,894 | import logging
from typing import TYPE_CHECKING, Any, Dict, List, Optional, cast
from llama_index.legacy.schema import BaseNode, MetadataMode, TextNode
from llama_index.legacy.vector_stores.utils import (
DEFAULT_TEXT_KEY,
legacy_metadata_dict_to_node,
metadata_dict_to_node,
node_to_metadata_dict,
)
Th... | Get converted node similarity from distance. |
36,895 | import logging
from typing import TYPE_CHECKING, Any, Dict, List, Optional, cast
from llama_index.legacy.schema import BaseNode, MetadataMode, TextNode
from llama_index.legacy.vector_stores.utils import (
DEFAULT_TEXT_KEY,
legacy_metadata_dict_to_node,
metadata_dict_to_node,
node_to_metadata_dict,
)
_lo... | Convert to Node. |
36,896 | import logging
from typing import TYPE_CHECKING, Any, Dict, List, Optional, cast
from llama_index.legacy.schema import BaseNode, MetadataMode, TextNode
from llama_index.legacy.vector_stores.utils import (
DEFAULT_TEXT_KEY,
legacy_metadata_dict_to_node,
metadata_dict_to_node,
node_to_metadata_dict,
)
cl... | Add node. |
36,897 | import logging
import os
from typing import Any, Dict, List, Optional, cast
from llama_index.legacy.schema import BaseNode, MetadataMode, TextNode
from llama_index.legacy.vector_stores.types import (
MetadataFilters,
VectorStore,
VectorStoreQuery,
VectorStoreQueryResult,
)
from llama_index.legacy.vector... | Convert from standard dataclass to filter dict. |
36,898 | import json
from typing import Any, Dict, List, Optional
from llama_index.legacy.schema import (
BaseNode,
NodeRelationship,
RelatedNodeInfo,
TextNode,
)
from llama_index.legacy.vector_stores.types import (
VectorStore,
VectorStoreQuery,
VectorStoreQueryResult,
)
from llama_index.legacy.vect... | null |
36,899 | import os
from typing import Any, Dict, List, Optional
import requests
from requests.adapters import HTTPAdapter, Retry
from llama_index.legacy.schema import (
BaseNode,
MetadataMode,
NodeRelationship,
RelatedNodeInfo,
TextNode,
)
from llama_index.legacy.utils import get_tqdm_iterable
from llama_ind... | Convert docs to JSON. |
36,900 | import logging
from typing import Any, Dict, List, Optional, Union
from llama_index.legacy.schema import BaseNode, TextNode
from llama_index.legacy.vector_stores.types import (
MetadataFilters,
VectorStore,
VectorStoreQuery,
VectorStoreQueryMode,
VectorStoreQueryResult,
)
from llama_index.legacy.vec... | Translate standard metadata filters to Milvus specific spec. |
36,901 | import logging
import math
from typing import Any, Dict, Generator, List, Optional, cast
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.schema import BaseNode, MetadataMode, TextNode
from llama_index.legacy.utils import truncate_text
from llama_index.legacy.vector_stores.types... | Translate standard metadata filters to Chroma specific spec. |
36,902 | import logging
import math
from typing import Any, Dict, Generator, List, Optional, cast
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.schema import BaseNode, MetadataMode, TextNode
from llama_index.legacy.utils import truncate_text
from llama_index.legacy.vector_stores.types... | Yield successive max_chunk_size-sized chunks from lst. Args: lst (List[BaseNode]): list of nodes with embeddings max_chunk_size (int): max chunk size Yields: Generator[List[BaseNode], None, None]: list of nodes with embeddings |
36,903 | import logging
from typing import Any, List, NamedTuple, Optional, Type
from llama_index.legacy.bridge.pydantic import PrivateAttr
from llama_index.legacy.schema import BaseNode, MetadataMode, TextNode
from llama_index.legacy.vector_stores.types import (
BasePydanticVectorStore,
MetadataFilters,
VectorStore... | This part create a dynamic sqlalchemy model with a new table. |
36,904 | import logging
from typing import Any, List, NamedTuple, Optional, Type
from llama_index.legacy.bridge.pydantic import PrivateAttr
from llama_index.legacy.schema import BaseNode, MetadataMode, TextNode
from llama_index.legacy.vector_stores.types import (
BasePydanticVectorStore,
MetadataFilters,
VectorStore... | null |
36,905 | import logging
from typing import TYPE_CHECKING, Any, Dict, List, Optional
import fsspec
from llama_index.legacy.bridge.pydantic import PrivateAttr
from llama_index.legacy.readers.redis.utils import (
TokenEscaper,
array_to_buffer,
check_redis_modules_exist,
convert_bytes,
get_redis_query,
)
from ll... | null |
36,906 | import logging
from typing import Any, List, NamedTuple, Optional, Type
from llama_index.legacy.bridge.pydantic import PrivateAttr
from llama_index.legacy.schema import BaseNode, MetadataMode, TextNode
from llama_index.legacy.vector_stores.types import (
BasePydanticVectorStore,
FilterOperator,
MetadataFilt... | This part create a dynamic sqlalchemy model with a new table. |
36,907 | import logging
from typing import Any, List, NamedTuple, Optional, Type
from llama_index.legacy.bridge.pydantic import PrivateAttr
from llama_index.legacy.schema import BaseNode, MetadataMode, TextNode
from llama_index.legacy.vector_stores.types import (
BasePydanticVectorStore,
FilterOperator,
MetadataFilt... | null |
36,908 | import asyncio
from inspect import signature
from typing import Any, Awaitable, Callable, Dict, List, Optional, Tuple, Type, Union
from llama_index.legacy.bridge.pydantic import BaseModel
from llama_index.legacy.tools.function_tool import FunctionTool
from llama_index.legacy.tools.types import ToolMetadata
from llama_i... | Patch sync function from async function. |
36,909 | from inspect import signature
from typing import Any, Callable, List, Optional, Tuple, Type, Union, cast
from llama_index.legacy.bridge.pydantic import BaseModel, FieldInfo, create_model
The provided code snippet includes necessary dependencies for implementing the `create_schema_from_function` function. Write a Pytho... | Create schema from function. |
36,910 | import json
from abc import abstractmethod
from dataclasses import dataclass
from typing import TYPE_CHECKING, Any, Dict, Optional, Type
from deprecated import deprecated
from llama_index.legacy.bridge.pydantic import BaseModel
class BaseTool:
def metadata(self) -> ToolMetadata:
pass
def __call__(self, ... | Converts a synchronous tool to an async tool. |
36,911 | from typing import Optional, Type
from llama_index.legacy.download.module import (
LLAMA_HUB_URL,
MODULE_TYPE,
download_llama_module,
track_download,
)
from llama_index.legacy.tools.tool_spec.base import BaseToolSpec
LLAMA_HUB_URL = LLAMA_HUB_CONTENTS_URL + LLAMA_HUB_PATH
class MODULE_TYPE(str, Enu... | Download a single tool from Llama Hub. Args: tool_class: The name of the tool class you want to download, such as `GmailToolSpec`. refresh_cache: If true, the local cache will be skipped and the loader will be fetched directly from the remote repo. custom_path: Custom dirpath to download loader into. Returns: A Loader. |
36,912 | import asyncio
from inspect import signature
from typing import TYPE_CHECKING, Any, Awaitable, Callable, Optional, Type
from llama_index.legacy.bridge.pydantic import BaseModel
from llama_index.legacy.tools.types import AsyncBaseTool, ToolMetadata, ToolOutput
from llama_index.legacy.tools.utils import create_schema_fro... | Sync to async. |
36,913 | import json
import os
from pathlib import Path
from typing import Any, Dict, List, Optional, Union
import requests
import tqdm
from llama_index.legacy.download.module import LLAMA_HUB_URL
from llama_index.legacy.download.utils import (
get_file_content,
get_file_content_bytes,
initialize_directory,
)
LLAMA_... | Download a module from LlamaHub. Can be a loader, tool, pack, or more. Args: loader_class: The name of the llama module class you want to download, such as `GmailOpenAIAgentPack`. refresh_cache: If true, the local cache will be skipped and the loader will be fetched directly from the remote repo. custom_dir: Custom dir... |
36,914 | import re
from typing import Optional, Set
import pandas as pd
from llama_index.legacy.indices.utils import expand_tokens_with_subtokens
from llama_index.legacy.utils import globals_helper
def expand_tokens_with_subtokens(tokens: Set[str]) -> Set[str]:
"""Get subtokens from a list of tokens., filtering for stopwor... | Extract keywords with RAKE. |
36,915 | import re
from typing import Optional, Set
import pandas as pd
from llama_index.legacy.indices.utils import expand_tokens_with_subtokens
from llama_index.legacy.utils import globals_helper
def expand_tokens_with_subtokens(tokens: Set[str]) -> Set[str]:
"""Get subtokens from a list of tokens., filtering for stopwor... | Extract keywords given the GPT-generated response. Used by keyword table indices. Parses <start_token>: <word1>, <word2>, ... into [word1, word2, ...] Raises exception if response doesn't start with <start_token> |
36,916 | import logging
import re
from typing import Dict, List, Optional, Sequence, Set, Tuple
from llama_index.legacy.embeddings.base import BaseEmbedding
from llama_index.legacy.embeddings.multi_modal_base import MultiModalEmbedding
from llama_index.legacy.schema import BaseNode, ImageNode, MetadataMode
from llama_index.lega... | Get sorted node list. Used by tree-strutured indices. |
36,917 | import logging
import re
from typing import Dict, List, Optional, Sequence, Set, Tuple
from llama_index.legacy.embeddings.base import BaseEmbedding
from llama_index.legacy.embeddings.multi_modal_base import MultiModalEmbedding
from llama_index.legacy.schema import BaseNode, ImageNode, MetadataMode
from llama_index.lega... | Extract number given the GPT-generated response. Used by tree-structured indices. |
36,918 | import logging
import re
from typing import Dict, List, Optional, Sequence, Set, Tuple
from llama_index.legacy.embeddings.base import BaseEmbedding
from llama_index.legacy.embeddings.multi_modal_base import MultiModalEmbedding
from llama_index.legacy.schema import BaseNode, ImageNode, MetadataMode
from llama_index.lega... | Log vector store query result. |
36,919 | import logging
import re
from typing import Dict, List, Optional, Sequence, Set, Tuple
from llama_index.legacy.embeddings.base import BaseEmbedding
from llama_index.legacy.embeddings.multi_modal_base import MultiModalEmbedding
from llama_index.legacy.schema import BaseNode, ImageNode, MetadataMode
from llama_index.lega... | Default format node batch function. Assign each summary node a number, and format the batch of nodes. |
36,920 | import logging
import re
from typing import Dict, List, Optional, Sequence, Set, Tuple
from llama_index.legacy.embeddings.base import BaseEmbedding
from llama_index.legacy.embeddings.multi_modal_base import MultiModalEmbedding
from llama_index.legacy.schema import BaseNode, ImageNode, MetadataMode
from llama_index.lega... | Default parse choice select answer function. |
36,921 | import logging
import re
from typing import Dict, List, Optional, Sequence, Set, Tuple
from llama_index.legacy.embeddings.base import BaseEmbedding
from llama_index.legacy.embeddings.multi_modal_base import MultiModalEmbedding
from llama_index.legacy.schema import BaseNode, ImageNode, MetadataMode
from llama_index.lega... | Get embeddings of the given nodes, run embedding model if necessary. Args: nodes (Sequence[BaseNode]): The nodes to embed. embed_model (BaseEmbedding): The embedding model to use. show_progress (bool): Whether to show progress bar. Returns: Dict[str, List[float]]: A map from node id to embedding. |
36,922 | import logging
import re
from typing import Dict, List, Optional, Sequence, Set, Tuple
from llama_index.legacy.embeddings.base import BaseEmbedding
from llama_index.legacy.embeddings.multi_modal_base import MultiModalEmbedding
from llama_index.legacy.schema import BaseNode, ImageNode, MetadataMode
from llama_index.lega... | Get image embeddings of the given nodes, run image embedding model if necessary. Args: nodes (Sequence[ImageNode]): The nodes to embed. embed_model (MultiModalEmbedding): The embedding model to use. show_progress (bool): Whether to show progress bar. Returns: Dict[str, List[float]]: A map from node id to embedding. |
36,923 | import logging
import re
from typing import Dict, List, Optional, Sequence, Set, Tuple
from llama_index.legacy.embeddings.base import BaseEmbedding
from llama_index.legacy.embeddings.multi_modal_base import MultiModalEmbedding
from llama_index.legacy.schema import BaseNode, ImageNode, MetadataMode
from llama_index.lega... | Async get embeddings of the given nodes, run embedding model if necessary. Args: nodes (Sequence[BaseNode]): The nodes to embed. embed_model (BaseEmbedding): The embedding model to use. show_progress (bool): Whether to show progress bar. Returns: Dict[str, List[float]]: A map from node id to embedding. |
36,924 | import logging
import re
from typing import Dict, List, Optional, Sequence, Set, Tuple
from llama_index.legacy.embeddings.base import BaseEmbedding
from llama_index.legacy.embeddings.multi_modal_base import MultiModalEmbedding
from llama_index.legacy.schema import BaseNode, ImageNode, MetadataMode
from llama_index.lega... | Get image embeddings of the given nodes, run image embedding model if necessary. Args: nodes (Sequence[ImageNode]): The nodes to embed. embed_model (MultiModalEmbedding): The embedding model to use. show_progress (bool): Whether to show progress bar. Returns: Dict[str, List[float]]: A map from node id to embedding. |
36,925 | import logging
from typing import Any, List, Optional, Sequence
from llama_index.legacy.indices.base import BaseIndex
from llama_index.legacy.indices.composability.graph import ComposableGraph
from llama_index.legacy.indices.registry import INDEX_STRUCT_TYPE_TO_INDEX_CLASS
from llama_index.legacy.storage.storage_contex... | Load index from storage context. Args: storage_context (StorageContext): storage context containing docstore, index store and vector store. index_id (Optional[str]): ID of the index to load. Defaults to None, which assumes there's only a single index in the index store and load it. **kwargs: Additional keyword args to ... |
36,926 | import logging
from typing import Any, List, Optional, Sequence
from llama_index.legacy.indices.base import BaseIndex
from llama_index.legacy.indices.composability.graph import ComposableGraph
from llama_index.legacy.indices.registry import INDEX_STRUCT_TYPE_TO_INDEX_CLASS
from llama_index.legacy.storage.storage_contex... | Load composable graph from storage context. Args: storage_context (StorageContext): storage context containing docstore, index store and vector store. root_id (str): ID of the root index of the graph. **kwargs: Additional keyword args to pass to the index constructors. |
36,927 | import logging
from typing import Any, Dict, Optional, Sequence, Type
import requests
from llama_index.legacy.core.base_retriever import BaseRetriever
from llama_index.legacy.data_structs.data_structs import IndexDict, IndexStructType
from llama_index.legacy.indices.managed.base import BaseManagedIndex, IndexType
from ... | null |
36,928 | from typing import List, Optional
from llama_index.legacy.node_parser.text import TokenTextSplitter
from llama_index.legacy.node_parser.text.utils import truncate_text
from llama_index.legacy.schema import BaseNode
def truncate_text(text: str, text_splitter: TextSplitter) -> str:
"""Truncate text to fit within the... | Get text from nodes in the format of a numbered list. Used by tree-structured indices. |
36,929 | import logging
from typing import Any, Dict, List, Optional, cast
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.core.base_retriever import BaseRetriever
from llama_index.legacy.core.response.schema import Response
from llama_index.legacy.indices.query.schema import QueryBundle
fr... | Get text from node. |
36,930 | import json
import logging
from typing import Any, Callable, Dict, List, Optional, Union
from llama_index.legacy.core.base_query_engine import BaseQueryEngine
from llama_index.legacy.core.response.schema import Response
from llama_index.legacy.prompts import BasePromptTemplate, PromptTemplate
from llama_index.legacy.pr... | Default output processor that extracts values based on JSON Path expressions. |
36,931 | import re
from typing import Any, Callable, Dict, Generic, Optional, Sequence, TypeVar
from llama_index.legacy.data_structs.table import BaseStructTable
from llama_index.legacy.indices.base import BaseIndex
from llama_index.legacy.prompts import BasePromptTemplate
from llama_index.legacy.prompts.default_prompts import ... | Parse output of schema extraction. Attempt to parse the following format from the default prompt: field1: <value>, field2: <value>, ... |
36,932 | import logging
from abc import abstractmethod
from typing import Any, Dict, List, Optional, Tuple, Union, cast
from sqlalchemy import Table
from llama_index.legacy.core.base_query_engine import BaseQueryEngine
from llama_index.legacy.core.response.schema import Response
from llama_index.legacy.indices.struct_store.cont... | Validate prompt. |
36,933 | import heapq
import math
from typing import Any, Callable, List, Optional, Tuple
import numpy as np
from llama_index.legacy.core.embeddings.base import similarity as default_similarity_fn
from llama_index.legacy.vector_stores.types import VectorStoreQueryMode
class VectorStoreQueryMode(str, Enum):
"""Vector store ... | Get top embeddings by fitting a learner against query. Inspired by Karpathy's SVM demo: https://github.com/karpathy/randomfun/blob/master/knn_vs_svm.ipynb Can fit SVM, linear regression, and more. |
36,934 | import heapq
import math
from typing import Any, Callable, List, Optional, Tuple
import numpy as np
from llama_index.legacy.core.embeddings.base import similarity as default_similarity_fn
from llama_index.legacy.vector_stores.types import VectorStoreQueryMode
def similarity(
embedding1: Embedding,
embedding2: ... | Get top nodes by similarity to the query, discount by their similarity to previous results. A mmr_threshold of 0 will strongly avoid similarity to previous results. A mmr_threshold of 1 will check similarity the query and ignore previous results. |
36,936 | import textwrap
from pprint import pprint
from typing import Any, Dict
from llama_index.legacy.core.response.schema import Response
from llama_index.legacy.schema import NodeWithScore
from llama_index.legacy.utils import truncate_text
The provided code snippet includes necessary dependencies for implementing the `ppri... | Display metadata for jupyter notebook. |
36,937 | import textwrap
from pprint import pprint
from typing import Any, Dict
from llama_index.legacy.core.response.schema import Response
from llama_index.legacy.schema import NodeWithScore
from llama_index.legacy.utils import truncate_text
def pprint_source_node(
source_node: NodeWithScore, source_length: int = 350, wra... | Pretty print response for jupyter notebook. |
36,938 | import os
from io import BytesIO
from typing import Any, Dict, List, Tuple
import matplotlib.pyplot as plt
import requests
from IPython.display import Markdown, display
from PIL import Image
from llama_index.legacy.core.response.schema import Response
from llama_index.legacy.img_utils import b64_2_img
from llama_index.... | Display base64 encoded image str as image for jupyter notebook. |
36,939 | import os
from io import BytesIO
from typing import Any, Dict, List, Tuple
import matplotlib.pyplot as plt
import requests
from IPython.display import Markdown, display
from PIL import Image
from llama_index.legacy.core.response.schema import Response
from llama_index.legacy.img_utils import b64_2_img
from llama_index.... | Display response for jupyter notebook. |
36,940 | import os
from io import BytesIO
from typing import Any, Dict, List, Tuple
import matplotlib.pyplot as plt
import requests
from IPython.display import Markdown, display
from PIL import Image
from llama_index.legacy.core.response.schema import Response
from llama_index.legacy.img_utils import b64_2_img
from llama_index.... | For displaying a query and its multi-modal response. |
36,941 | from typing import Any, Dict, Optional, Sequence
from llama_index.legacy.core.base_selector import (
BaseSelector,
MultiSelection,
SelectorResult,
SingleSelection,
)
from llama_index.legacy.llms.openai import OpenAI
from llama_index.legacy.program.openai_program import OpenAIPydanticProgram
from llama_i... | Convert pydantic output to selector result. Takes into account zero-indexing on answer indexes. |
36,942 | from typing import Optional
from llama_index.legacy.core.base_selector import BaseSelector
from llama_index.legacy.selectors.llm_selectors import (
LLMMultiSelector,
LLMSingleSelector,
)
from llama_index.legacy.selectors.pydantic_selectors import (
PydanticMultiSelector,
PydanticSingleSelector,
)
from l... | Get a selector from a service context. Prefers Pydantic selectors if possible. |
36,943 | from typing import Any, Dict, List, Optional, Sequence, cast
from llama_index.legacy.core.base_selector import (
BaseSelector,
SelectorResult,
SingleSelection,
)
from llama_index.legacy.llm_predictor.base import LLMPredictorType
from llama_index.legacy.output_parsers.base import StructuredOutput
from llama_... | Convert sequence of metadata to enumeration text. |
36,944 | from typing import Any, Dict, List, Optional, Sequence, cast
from llama_index.legacy.core.base_selector import (
BaseSelector,
SelectorResult,
SingleSelection,
)
from llama_index.legacy.llm_predictor.base import LLMPredictorType
from llama_index.legacy.output_parsers.base import StructuredOutput
from llama_... | Convert structured output to selector result. |
36,945 | import json
import os
import sys
from collections import defaultdict
from typing import Dict, List
import numpy as np
import tiktoken
def validate_json(data_path: str) -> None:
# Load dataset
with open(data_path) as f:
dataset = [json.loads(line) for line in f]
# We can inspect the data quickly by... | null |
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