---
license: other
license_name: bsl-1.1
license_link: https://github.com/tenfingerseddy/resonance-lattice/blob/main/LICENSE.md
tags:
  - resonance-lattice
  - rlat
  - knowledge-model
  - retrieval
language: en
---

# python-stdlib — rlat knowledge model (v2.0)

A [Resonance Lattice](https://github.com/tenfingerseddy/resonance-lattice)
knowledge model of [`python/cpython`](https://github.com/python/cpython) at commit
[`d2f506ae`](https://github.com/python/cpython/commit/d2f506ae07e0bc097039634a28cf85b5d804ef72), scope `Doc`.

## Quick start

```bash
pip install rlat
huggingface-cli download tenfingers/python-stdlib-rlat python-stdlib.rlat --local-dir .
rlat search python-stdlib.rlat "your question" --top-k 5
```

The model uses **remote storage mode** — passages reference source files at
`raw.githubusercontent.com` pinned to the commit SHA above. The first query
fetches each cited source once and caches it locally; subsequent queries on
the same passages are sub-20ms warm.

## Build details

| Field | Value |
|---|---|
| Encoder | `Alibaba-NLP/gte-modernbert-base` 768d, CLS-pooled, L2-normalised |
| Encoder revision | `e7f32e3c00f91d699e8c43b53106206bcc72bb22` (pinned) |
| Format | rlat knowledge-model v4 (ZIP + JSON + NPZ) |
| Storage mode | `remote` (source pinned at SHA, fetched on demand, SHA-verified) |
| Source repo | [`python/cpython`](https://github.com/python/cpython) |
| Source scope | `Doc` |
| Source commit | `d2f506ae07e0bc097039634a28cf85b5d804ef72` |
| Source branch | `main` (commit SHA-pinned; reproducible regardless of branch movement) |
| Files indexed | 617 |
| Passages | 49,179 |
| Build date | 2026-04-28 |
| Built on | Kaggle T4 (GPU encoding, batch_size=64, runtime=torch) |
| File size | 292.5 MB |

## Usage

### Single-hop search

```bash
rlat search python-stdlib.rlat "what does X do?" --top-k 5
```

### Skill-context (Anthropic skill `!command` block)

```markdown
!`rlat skill-context python-stdlib.rlat --query "$user_query" --top-k 5`
```

The output is markdown with citation anchors, drift status, and
ConfidenceMetrics — ready for an LLM to ground on.

### Multi-hop deep-search

```bash
rlat deep-search python-stdlib.rlat "harder cross-file question" --max-hops 3
```

Requires an Anthropic API key. See the
[deep-search docs](https://github.com/tenfingerseddy/resonance-lattice/blob/main/docs/user/CLI.md#rlat-deep-search).

## Refreshing against upstream

This model pins to the source commit `d2f506ae`. To re-index against the
current upstream tip:

```bash
# Option A: rebuild on Kaggle's free T4 (recommended for big corpora)
# See the rlat-build-on-kaggle skill at:
# https://github.com/tenfingerseddy/resonance-lattice/tree/main/.claude/skills/rlat-build-on-kaggle

# Option B: rebuild locally
pip install rlat[build,ann]
rlat install-encoder
git clone --depth 1 -b main https://github.com/python/cpython.git src/
rlat build src/Doc -o python-stdlib.rlat \
  --store-mode remote \
  --remote-url-base https://raw.githubusercontent.com/python/cpython/<NEW_SHA>/Doc/ \
  --runtime torch
```

## Honest limits

- The encoder is `gte-modernbert-base` 768d with no per-corpus optimisation.
  Default retrieval is dense cosine over the base band — single recipe, no
  rerankers, no lexical sidecar.
- For per-corpus retrieval lift, you can run `rlat optimise` locally to add
  a 512d MRL-trained band on top of this archive (opt-in, costs API + GPU
  time). See [docs/user/OPTIMISE.md](https://github.com/tenfingerseddy/resonance-lattice/blob/main/docs/user/OPTIMISE.md).
- Drift detection is automatic: if the source files at GitHub change, query
  results show a `drifted` status until the model is rebuilt against the
  new commit.

## License

The `rlat` software is licensed under
[BSL 1.1](https://github.com/tenfingerseddy/resonance-lattice/blob/main/LICENSE.md)
(Business Source License — source-available; production use of the
licensed work is permitted up to the parameters in LICENSE.md).

This `.rlat` archive contains embeddings + metadata + a SHA-pinned URL
manifest; source bytes are NOT bundled and are fetched from upstream
GitHub at query time, where the upstream repository's license applies.