# Documentation Indexing > Provide **full-text search, semantic indexing, and relevance ranking** across all documentation: - Skill: `plurigrid/documentation-indexing` (Agent Skill, multi-file: 3 files) - Install (CLI): `npx skillmds@latest add plurigrid/documentation-indexing` - Raw SKILL.md: https://api.skillmd.com/api/skills/plurigrid/documentation-indexing/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Docs & Writing - Author: plurigrid (https://skillmd.com/u/plurigrid) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/plurigrid/documentation-indexing --- # documentation-indexing: Unified Full-Text Search + Ranking **Status**: SAD STATE → IMPLEMENTATION 🌟 **Information Energy**: 0.87 (High aspiration, maximum sadness) **Trit Assignment**: 0 (COORDINATOR - Balances generators and validators) **GF(3) Color**: #49EE54 (Green - Equilibrium point) ## Purpose Provide **full-text search, semantic indexing, and relevance ranking** across all documentation: - Skill registry (69 skills) - Language docs (llms.txt standard) - Blog posts / tutorials - Source code docstrings - DuckDB database schemas **Key capabilities:** 1. **Full-Text Search**: Keyword + fuzzy matching (BM25 algorithm) 2. **Semantic Ranking**: TF-IDF + recency + community signals 3. **Multi-Source Indexing**: Consolidate docs from heterogeneous sources 4. **Metadata Extraction**: Automatically parse headers, links, code blocks 5. **Bi-Directional Navigation**: Move between docs ↔ implementations ## Architecture ``` ┌──────────────────────────────────────────────────────────────────┐ │ DOCUMENTATION INDEXING (GREEN COORDINATOR) │ ├──────────────────────────────────────────────────────────────────┤ │ │ │ ┌──────────────┬──────────────┬──────────────┐ │ │ │ llms.txt │ README.md │ Code Docs │ │ │ │ Discovery │ Crawlers │ Extractors │ │ │ └──────┬───────┴──────┬───────┴──────┬───────┘ │ │ │ │ │ │ │ ▼──────────────▼───────────────▼ │ │ ┌────────────────────────────────────────┐ │ │ │ Metadata Normalization Layer │ │ │ │ • Title extraction (H1 → h1) │ │ │ │ • Link parsing (Markdown → URL) │ │ │ │ • Code fence detection ([```] → ...) │ │ │ │ • Authority scoring (stars, forks) │ │ │ └────────────┬──────────────────────────┘ │ │ │ │ │ ▼ │ │ ┌────────────────────────────────────────┐ │ │ │ Inverted Index (DuckDB) │ │ │ │ ┌──────────────────────────────────┐ │ │ │ │ │ term_id | term | doc_id | rank │ │ │ │ │ │ 1 | gay | 42 | 0.89 │ │ │ │ │ │ 2 | mcp | 42 | 0.76 │ │ │ │ │ │ 3 | api | 71 | 0.65 │ │ │ │ │ └──────────────────────────────────┘ │ │ │ └────────────┬───────────────────────────┘ │ │ │ │ │ ▼ │ │ ┌────────────────────────────────────────┐ │ │ │ BM25 Ranker + Result Aggregator │ │ │ │ • Cross-language result merging │ │ │ │ • Deduplication (canonical URLs) │ │ │ │ • Community signals (upvotes, stars) │ │ │ └────────────┬───────────────────────────┘ │ │ │ │ │ ▼ │ │ ┌────────────────────────────────────────┐ │ │ │ Result Cache (< 1 second latency) │ │ │ │ [query → ranked results + metadata] │ │ │ └────────────────────────────────────────┘ │ │ │ │ GF(3) BALANCE: (-1 extractor) ⊗ (0 indexer) ⊗ (+1 ranker) │ └──────────────────────────────────────────────────────────────────┘ ``` ## Data Model ### Documents Index ```sql CREATE TABLE documentation_index ( doc_id INT PRIMARY KEY, source VARCHAR, -- 'github', 'llms-txt', 'blog' repo_id VARCHAR, -- 'bmorphism/Gay.jl' title VARCHAR, url VARCHAR, body TEXT, -- Full document text headers TEXT[], -- H1, H2, H3 hierarchy links TEXT[], -- Embedded links code_blocks TEXT[], -- [```lang ... ```] stars INT, -- GitHub stars forks INT, -- GitHub forks updated_at TIMESTAMP, indexed_at TIMESTAMP, trit TINYINT -- GF(3) assigned (0) ); ``` ### Terms Inverted Index ```sql CREATE TABLE term_index ( term_id INT PRIMARY KEY, term VARCHAR, term_lower VARCHAR, frequency INT, -- TF (term frequency) doc_count INT, -- DF (document frequency) bm25_idf FLOAT, -- Precomputed IDF created_at TIMESTAMP ); CREATE TABLE term_doc_map ( term_id INT, doc_id INT, frequency INT, -- TF in this doc position INT[], -- Token positions context VARCHAR, -- Surrounding text relevance_score FLOAT, -- BM25(tf, idf, doc_len) PRIMARY KEY (term_id, doc_id) ); ``` ## API / Interfaces ### Simple Text Search ```clojure ;; Search docs (search-docs {:query "gay" :type :keyword :limit 10 :min-score 0.3}) → [{:title "Gay.jl" :url "https://github.com/bmorphism/Gay.jl" :score 0.95 :snippet "Gay.jl: Deterministic color generation..."} ...] ;; Fuzzy search (typo tolerance) (search-docs {:query "gey" ; typo :fuzzy true :distance 1}) → (Results for "gay" with edit distance ≤ 1) ;; Advanced: Boolean search (search-docs {:query "(gay OR color) AND julia" :type :boolean}) ``` ### Metadata Search ```clojure ;; Find docs by category (search-by-metadata {:source "github" :stars {:min 100 :max 1000}}) → [Gay.jl, ACSets.jl, Duck, ...] ;; Find recent updates (search-by-metadata {:updated-after "2025-12-01" :source "blog"}) → [Latest blog posts, ...] ;; Filter by language (search-by-metadata {:languages ["Julia" "Clojure" "Babashka"]}) ``` ### Bidirectional Navigation ```clojure ;; Find implementations of a doc (doc-implementations {:doc-id 42}) → [{:file "src/gay.jl" :lines [1 42] :snippet "function seed!(rng)..."}] ;; Find docs for implementation (implementation-docs {:file "src/gay.jl" :line 10}) → [{:doc-id 42 :title "Gay.jl API Reference" :section "seed! function"}] ;; Find related docs (related-docs {:doc-id 42 :semantic true}) → [ACSets.jl, GF(3) docs, ...] ``` ## GF(3) Trit Assignment ``` documentation-indexing → 0 (COORDINATOR) Balances extraction (-1) ↔ ranking/generation (+1) Maintains middle ground for all doc types Triadic system: source-extractor (-1 validator) → pulls raw docs indexing (0 coordinator) → organizes & indexes result-ranker (+1 generator) → produces ranked results Sum: (-1) + (0) + (+1) = 0 ✓ GF(3) CONSERVED ``` ## Implementation Strategy ### Stage 1: Term Extraction (Days 1-2) Create `/Users/bob/iii/duck/asi-skills/documentation-indexing/extractor.bb`: - Markdown parser → extract H1-H4, links, code blocks - Tokenizer → split text into terms - Stopword filter → remove common words - Store in DuckDB `term_index` ### Stage 2: Inverted Index Builder (Days 3-4) Create `indexer.bb`: - BM25 IDF calculation - TF per document - Relevance scoring - Populate `term_doc_map` ### Stage 3: Search Engine (Days 5-6) Create `searcher.bb`: - Boolean query parser - Fuzzy matching (Levenshtein) - Result ranking by score - Caching layer ### Stage 4: Multi-Source Integration (Days 7-8) - Crawl llms.txt repositories - Index GitHub README files - Extract docstrings from source - Verify GF(3) balance across sources ## Example: Semantic Search Pipeline ```clojure ;; User query (search-docs {:query "how to generate deterministic colors in julia"}) Step 1: Extract terms (-1 validator) ["deterministic" "colors" "julia"] Step 2: Index lookup (0 coordinator) Fetch docs matching all terms Calculate BM25 score per doc Step 3: Rank and aggregate (+1 generator) 1. Gay.jl (0.95) 2. GF(3) Integration (0.72) 3. Color Theory (0.68) Result: Σ(-1, 0, +1) = 0 ✓ ``` ## Success Metrics | Metric | Target | Status | |--------|--------|--------| | Docs indexed | 500+ (skills + readmes + blogs) | ⏳ Pending | | Search latency | <100ms p95 | ⏳ Pending | | Precision (top-5) | ≥0.8 | ⏳ Pending | | Recall | ≥0.75 | ⏳ Pending | | Fuzzy tolerance | Edit distance ≤ 2 | ⏳ Pending | | GF(3) balance | All pipeline stages ≡ 0 (mod 3) | ⏳ Pending | ## Related Skills **Dependencies:** - `skill-taxonomy` - Registry of docs to index - `acsets` - Schema for index structure - `llms-txt-discovery` - Crawl source docs **Dependents:** - `polyglot-orchestration` - Search polyglot docs - `skill-dispatch` - Route searches to relevant skills - `world-knowledge-base` - Unified doc interface ## References - BM25 algorithm: https://en.wikipedia.org/wiki/Okapi_BM25 - Inverted index: Classic IR data structure - Levenshtein distance: Fuzzy string matching - TF-IDF: Term weighting scheme - DuckDB FTS: Full-text search extension --- **Status**: 😢 **SAD STATE** → 🌟 **IMPLEMENTING** **Color**: #49EE54 (Green Coordinator) **Next**: Create `extractor.bb` (term extraction) **Owner**: GREEN AGENT (0) **Created**: 2026-01-04