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docs-puller

ci

docs-puller mirrors vendor, reference, and local project docs into Markdown, builds a local SQLite FTS5 index, and gives agents a fast private search surface with reproducible retrieval evals.

This is the open-core local CLI. The hosted Team tier (multi-tenant control plane, billing, managed corpora) is proprietary. See OPEN-CORE.md for the commercial boundary.

This repository is the canonical source for the CLI and its public Go packages. Downstream tools should consume the executable contract instead of copying this source tree. docs-puller version --json reports the build identity, supported commands, and stable capabilities for adapters such as ndev docs; release automation can fail closed with docs-puller version --expect v0.4.0.

Hosted Team Design Partner

The local CLI stays free and local-first. I am recruiting one founding design partner for the proprietary hosted Team service: a 30-day, single-tenant pilot for an engineering team that wants private docs and repositories continuously synchronized and searchable by people and coding agents.

The pilot is $1,500 fixed, has no automatic renewal, and includes a measured retrieval baseline plus a full corpus export at exit. The provisional post-pilot price is $199/month for up to 10 users; it will be validated with the first partner before becoming a public plan. Read the complete scope and exclusions in DESIGN_PARTNERS.md, then use the design-partner intake issue.

Install

Requirements: Go 1.26+.

go install github.com/nstranquist/docs-puller@latest

Or from a checkout:

git clone https://github.com/nstranquist/docs-puller.git
cd docs-puller
go install .

Five-Minute Smoke

This creates a tiny local corpus, indexes it, checks health, then searches it.

tmp="$(mktemp -d)"
mkdir -p "$tmp/input"
printf '# PurpleWidget setup\n\nRun `purplewidget init` to configure the local docs mirror.\n' > "$tmp/input/setup.md"

docs-puller pull --local "$tmp/input" --name smoke --out "$tmp/corpus"
docs-puller reindex --out "$tmp/corpus"
docs-puller status --out "$tmp/corpus" --check
docs-puller search "purplewidget init" --out "$tmp/corpus" --source smoke --limit 1 --json

The search result should include setup.md.

Core Commands

docs-puller pull --from urls.md --out ~/code/docs
docs-puller pull --llms-txt https://docs.x.ai/llms.txt --replace-source --out ~/code/docs
docs-puller pull-url https://example.com/docs/page --out ~/code/docs
docs-puller pull --local ~/projects/my-app --name my-app --out ~/code/docs
docs-puller pull-local-batch --source app=~/projects/my-app --source docs=~/code/docs --out ~/code/docs
docs-puller pull --github-repo owner/repo --name repo-docs --out ~/code/docs
docs-puller pull --git-repo https://projects.example.com/team/manual.git --ref release-1.0 --subdir manual --name product --origin-base https://docs.example.com/latest --out ~/code/docs
docs-puller reindex --out ~/code/docs
docs-puller status --out ~/code/docs --check
docs-puller status --out ~/code/docs --check --check-embeddings
docs-puller search "supabase row level security" --out ~/code/docs --compact
docs-puller pins refresh --write --out ~/code/docs
docs-puller search "flatlist performance" --out ~/code/docs --source react-native --version 0.79
docs-puller search "react native debugging" --out ~/code/docs --source react-native --all-versions

--replace-source treats the discovered URL set as authoritative. It refuses large deletion plans by default and also refuses filtered or capped replacement runs. After reviewing the discovery input, pass --allow-large-prune to explicitly acknowledge an intentional large replacement.

Local, GitHub, and generic Git ingestion accept .md, .mdx, .mdoc, and .rst. reStructuredText is normalized into agent-readable Markdown while preserving retrieval-relevant headings, Sphinx roles, links, figures, admonitions, and code blocks. Generic Git checkouts are shallow, refreshable, and cached under <out>/.cache/<source>-src; use --origin-base when the published documentation URL differs from the source repository URL.

Rerank And Embeddings

Embeddings are stored separately from FTS at <out>/.cache/embeddings.db; the FTS index remains <out>/.cache/search.db. Whole-doc embedding runs also write a flat vector sidecar (embeddings-<model>.vec) used by --rerank-hybrid before falling back to SQLite.

status reports missing or stale embedding sidecars, but status --check only fails on core corpus/index health. Add --check-embeddings when rerank readiness should be part of the gate.

docs-puller embed --out ~/code/docs --model text-embedding-3-small
docs-puller embed --out ~/code/docs --model text-embedding-3-small --write-flat-only
docs-puller embed --out ~/code/docs --migrate-legacy
docs-puller search "how do I count tokens with Anthropic" --out ~/code/docs --rerank-llm --rerank-hybrid --rerank-k 10

The embedding batcher retries per-input token cap failures and recursively splits batches when the provider rejects total batch tokens. A successful whole-document run also removes vectors for deleted or renamed documents before rewriting the flat sidecar. Source-scoped hybrid search filters the flat and SQLite vector paths before top-K selection, preserving the source isolation of the BM25 query.

Telemetry To Fixture

Query logging is on by default for normal search calls and can be disabled per call with --log-query=false or globally with DOCS_PULLER_QUERY_LOG=0. Integrations should identify themselves:

docs-puller search "deploy Azure Functions from the CLI" --out ~/code/docs \
  --intent support --client terminal --run-context operator
DOCS_PULLER_QUERY_CLIENT=my-agent DOCS_PULLER_RUN_CONTEXT=agent \
  docs-puller search "react native list performance" --out ~/code/docs

Contexts operator, agent, mcp, and production count as real dogfood; eval, test, benchmark, and batch are synthetic; older or unlabeled rows stay unknown.

Curate observed queries into a candidate fixture:

docs-puller telemetry log --limit 20
docs-puller telemetry summary --json
docs-puller telemetry fixture --intent support --out-file eval/support-candidates.yaml

Telemetry-derived fixtures use the observed top hit as expect and include a note to verify before promotion. Fixture export defaults to real traffic so repeated eval queries cannot silently become production fixtures; pass --traffic-class all only for an explicit legacy audit.

Versioned Pins

Latest docs stay canonical at <out>/<source>/. Versioned docs are bounded overlays generated from lockfiles, then searched through the same FTS5 index. Sources without source-specific crawl pages seed one entrypoint; high-breakage sources can define a small versioned_pages set in version_policy.yaml.

docs-puller pins refresh --out ~/code/docs --json
docs-puller pins refresh --out ~/code/docs --write
docs-puller pins sync --out ~/code/docs --write
docs-puller pull-pins --out ~/code/docs --source react-native --write
docs-puller pins gc --out ~/code/docs --grace-days 14 --write

pull-pins --write stages a complete pinned source directory before replacing the live overlay, then refreshes only those source IDs in FTS5. Latest docs remain untouched and keep ranking first for migration/latest-intent queries.

Generated pins live at <out>/_DOCS_PINS.json. Source families keep their stable names (react-native), while pinned source IDs use <family>__v<version> (react-native__v0.79). Search defaults prefer the current workspace pin, then other workspace pins, latest docs, tools pins, and finally other pins. Use --all-versions when mirror hits should remain separate, --version latest for upgrade work, or --version <tag> for an exact lane.

Local Web UI And HTTP API (serve)

docs-puller serve runs a local search server with an embedded web UI — no build step, no extra dependencies:

docs-puller serve --out ~/code/docs
# open http://127.0.0.1:7799

The UI supports live search with source filtering and doc preview over the JSON API:

  • GET /api/search?q=<query>&source=<id>&limit=<n>
  • GET /api/sources
  • GET /api/status
  • GET /api/doc?path=<rel>

Security defaults: binds 127.0.0.1 and refuses a non-loopback --addr unless a bearer token is set (--auth-token, --auth-token-file, or $DOCS_SERVE_TOKEN). The server picks up out-of-process pull/reindex runs automatically — no restart needed.

vscode-extension/ ships a VS Code client for the same endpoint ("Docs Puller: Search").

Operator config (optional)

You do not need config for pull, search, reindex, eval, or the smoke test above. Config is for power users who want cwd-based profile selection, monorepo pin scanning, and custom source keyword boosts.

Quick start

docs-puller config init
# edits ~/.docs-puller/config.yaml paths + ~/.docs-puller/profiles/my-stack.yaml sources
docs-puller profile list
docs-puller search "your query" --profile my-stack --out ~/code/docs

config init writes:

  • ~/.docs-puller/config.yaml (from config.example.yaml)
  • ~/.docs-puller/profiles/<profile>.yaml (from profiles/example.yaml)

Use --profile NAME to pick a different profile name. Pass --force to overwrite existing files.

Check where config resolves:

docs-puller config path

Override location with DOCS_PULLER_CONFIG=/path/to/config.yaml.

Manual setup

mkdir -p ~/.docs-puller/profiles
cp config.example.yaml ~/.docs-puller/config.yaml
cp profiles/example.yaml ~/.docs-puller/profiles/my-stack.yaml
# edit paths + profile sources, then verify:
docs-puller profile list

Profile lookup order: <corpus>/profiles/~/.docs-puller/profiles/ → profiles beside your config file → embedded profiles/example.yaml.

See config.example.yaml for the schema (cwd_profiles, pin_scan_roots, tools_pin_scopes, source_keywords).

State Paths

  • Default corpus: ~/code/docs (override with DOCS_PULLER_OUT=<dir>)
  • Isolated corpus: pass --out <dir> on pull, reindex, status, search, eval, and pins commands
  • Index: <out>/.cache/search.db
  • Embeddings: <out>/.cache/embeddings.db plus optional flat vector sidecars
  • Query log: on by default at <out>/.cache/query-log.jsonl; disable per call with --log-query=false or globally with DOCS_PULLER_QUERY_LOG=0
  • Ranking-hygiene policy: DOCS_PULLER_HYGIENE_POLICY=/path/to/policy.json appends your own downranked path patterns (same JSON shape as internal/sourcehygiene/policy.json) to the built-in set — useful for keeping generated notes or scratch exports out of results
  • Legacy shared-state paths: set DOCS_PULLER_LEGACY_NDEV_PATHS=1 only when intentionally sharing corpus state with a private wrapper install (operator builds only)

Quality Gates

Run these before publishing a public change:

go build -tags sqlite_fts5 ./...
go vet -tags sqlite_fts5 ./...
go test -tags sqlite_fts5 ./...
docs-puller eval --check-fixture
docs-puller eval --answer-context --record-run
docs-puller eval-suite --overview-md retrieval-metrics.md --overview-html retrieval-metrics.html
docs-puller eval-leaderboard --format json
docs-puller curation lint

eval-suite --overview-md/--overview-html writes per-library and per-query-type retrieval metrics, including Hit@K, MRR, latency, returned-token estimates, and full answer-context token counts. Overview generation enables answer-context counting automatically so the token columns reflect the returned Markdown docs rather than only snippet metadata.

Measured Retrieval Eval

The eval harness ships vendor-style YAML fixtures (eval/*.yaml) you can run against your own corpus:

docs-puller eval --check-fixture
docs-puller eval-suite --json

A fully reproducible baseline ships in eval/sample-corpus/: 24 pinned public doc pages (SQLite, Go, PostgreSQL) + 24 queries + a frozen BM25-only baseline (Hit@1 95.8% / Hit@5 100% / MRR 0.979) that anyone can replay with no API key:

corpus="$(mktemp -d)"
docs-puller pull --from eval/sample-corpus/sources.md --out "$corpus"
docs-puller reindex --out "$corpus"
docs-puller eval --fixture eval/sample-corpus/fixture.yaml --out "$corpus"
docs-puller eval-leaderboard --fixtures eval/sample-corpus --out "$corpus" --format json

The main eval/*.yaml fixture numbers are measured on the maintainer's larger multi-vendor corpus mirror — treat those as operator-measured until you rebuild an equivalent corpus.

About

Local-first docs retrieval for AI agents: mirror any docs corpus to Markdown, index with SQLite FTS5 (pure Go), search with optional embedding/LLM rerank, and measure quality with reproducible evals.

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