v2.0 README

README.md

@@ -0,0 +1,110 @@
+---
+license: mit
+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` |
+| Branch at build time | (commit SHA-pinned; reproducible regardless of branch movement) |
+| Files indexed | 0 |
+| Passages | 0 |
+| Build date | 2026-04-28 |
+| Built on | Kaggle T4 (GPU encoding) |
+| 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
+
+MIT. The .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 license applies.