---
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
---

# powershell-docs — rlat knowledge model (v2.0)

A [Resonance Lattice](https://github.com/tenfingerseddy/resonance-lattice)
knowledge model of [`MicrosoftDocs/PowerShell-Docs`](https://github.com/MicrosoftDocs/PowerShell-Docs) at commit
[`58137d73`](https://github.com/MicrosoftDocs/PowerShell-Docs/commit/58137d73023e752c811cd327a91e03065844dc75), scope `reference`.

## Quick start

```bash
pip install rlat
huggingface-cli download tenfingers/powershell-docs-rlat powershell-docs.rlat --local-dir .
rlat search powershell-docs.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 | [`MicrosoftDocs/PowerShell-Docs`](https://github.com/MicrosoftDocs/PowerShell-Docs) |
| Source scope | `reference` |
| Source commit | `58137d73023e752c811cd327a91e03065844dc75` |
| Source branch | `main` (commit SHA-pinned; reproducible regardless of branch movement) |
| Files indexed | 2,647 |
| Passages | 107,033 |
| Build date | 2026-04-28 |
| Built on | Kaggle T4 (GPU encoding, batch_size=64, runtime=torch) |
| File size | 639.7 MB |

## Usage

### Single-hop search

```bash
rlat search powershell-docs.rlat "what does X do?" --top-k 5
```

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

```markdown
!`rlat skill-context powershell-docs.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 powershell-docs.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 `58137d73`. 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/MicrosoftDocs/PowerShell-Docs.git src/
rlat build src/reference -o powershell-docs.rlat \
  --store-mode remote \
  --remote-url-base https://raw.githubusercontent.com/MicrosoftDocs/PowerShell-Docs/<NEW_SHA>/reference/ \
  --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.