[93m[1m! [0m agent "general" is a subagent, not a primary agent. Falling back to default agent
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OVERVIEW](#1-overview)\n20:   - [4-STAGE PIPELINE ARCHITECTURE](#4-stage-pipeline-architecture)\n21: - [2. KEY CONCEPTS](#2-key-concepts)\n22: - [3. MODULE STRUCTURE](#3-module-structure)\n23: - [4. FEATURES](#4-features)\n24:   - [GRAPH SIGNAL FEATURES](#graph-signal-features)\n25:   - [SAVE-TIME PROCESSING PIPELINE](#save-time-processing-pipeline)\n26:   - [SCORING ENHANCEMENTS](#scoring-enhancements)\n27: - [FTS CAPABILITY CASCADE FLOOR](#fts-capability-cascade-floor)\n28: - [5. USAGE EXAMPLES](#5-usage-examples)\n29: - [6. RECENT CHANGES (SPRINT 8)](#6-recent-changes-sprint-8)\n30: - [7. RELATED RESOURCES](#7-related-resources)\n31: \n32: <!-- /ANCHOR:table-of-contents -->\n33: \n34: ---\n35: \n36: ## 1. OVERVIEW\n37: <!-- ANCHOR:overview -->\n38: \n39: The search subsystem provides production-grade hybrid search capabilities with multiple retrieval methods fused via RRF scoring. It handles query expansion, intent classification, typo tolerance and optional cross-encoder reranking.\n40: \n41: Gate E alignment: retrieval is subordinate to the canonical continuity chain. Resume and continuity work should anchor on `/spec_kit:resume`, then rebuild context from `handover.md -> _memory.continuity -> spec docs`. Search helps rank supporting evidence after those source-of-truth surfaces are known.\n42: \n43: **Core Capabilities:**\n44: - **5-Channel Hybrid Search**: Vector (semantic) + BM25/FTS5 (lexical) + Graph (relationship-based) + Graph Structure (structural)\n45: - **RRF Score Fusion**: Industry-standard k=40 with convergence bonuses\n46: - **Intent Classification**: 7 intent types route to task-specific retrieval weights\n47: - **Query Enhancement**: Fuzzy matching (Levenshtein) + acronym expansions (via hybrid-search.ts inline logic)\n48: - **Reranking Pipeline**: Optional cross-encoder with length penalties\n49: - **MMR Diversity Reranking**: Maximal Marginal Relevance to reduce redundancy in result sets\n50: - **Evidence Gap Detection**: Identifies missing context and suggests follow-up queries\n51: - **Schema Management**: sqlite-vec schema v15 (current) with document-type fields, event-based decay and phase-aware columns\n52: \n53: **Architecture Pattern:**\n54: ```text\n55: Query Input\n56:     |\n57: Intent Classifier -> Task-specific weights\n58:     |\n59: Parallel Search (5 channels)\n60: |---> Vector (sqlite-vec)       -> Semantic matches\n61: |---> BM25 (Pure JS)            -> Keyword matches\n62: |---> Graph (Co-activation)     -> Relationship matches\n63: |---> Graph Structure           -> Structural matches\n64:     |\n65: RRF Fusion (k=40) + Adaptive Fusion -> Unified scores\n66:     |\n67: MMR Diversity Reranking -> Redundancy reduction\n68:     |\n69: Cross-Encoder Rerank (optional) -> Relevance refinement\n70:     |\n71: Recency Boost + Co-activation -> Final adjustments\n72:     |\n73: Final Results\n74: ```\n75: \n76: **Architecture Note:**\n77: `vector-index.ts` is the primary typed export surface for the vector index and re-exports the split schema, query, mutation, store and alias modules. `vector-index-impl.ts` is now a 14-line backward-compatibility shim that simply re-exports `vector-index.ts` for older import paths.\n78: \n79: <a id=\"4-stage-pipeline-architecture\"></a>\n80: ### 4-Stage Pipeline Architecture\n\n(Showing lines 1-80 of 977. Use offset=81 to continue.)\n</content>","metadata":{"preview":"---\ntitle: \"Search Subsystem\"\ndescription: \"5-channel hybrid search architecture combining vector, lexical (BM25/FTS5), graph-based and structure-aware graph retrieval with Reciprocal Rank Fusion (RRF) and Adaptive Fusion.\"\ntrigger_phrases:\n  - \"search subsystem\"\n  - \"hybrid search\"\n  - \"vector search\"\n---\n\n# Search Subsystem\n\n> 5-channel hybrid search architecture combining vector, lexical (BM25/FTS5), graph-based and structure-aware graph retrieval, fused with Reciprocal Rank Fusion (RRF) and Adaptive Fusion.\n\n---\n\n## TABLE OF CONTENTS\n<!-- ANCHOR:table-of-contents -->\n\n- [1. OVERVIEW](#1-overview)\n  - [4-STAGE PIPELINE ARCHITECTURE](#4-stage-pipeline-architecture)","truncated":true,"loaded":[]},"title":".opencode/skills/system-spec-kit/mcp_server/lib/search/README.md","time":{"start":1777229053209,"end":1777229053219}}}}
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{"type":"text","timestamp":1777229069762,"sessionID":"ses_234e554ccffeW0TNHKymcQvFwX","part":{"id":"prt_dcb1b650c0015rs4XyQK6H9Lho","messageID":"msg_dcb1b3ff3002wemziKD7yVNqRC","sessionID":"ses_234e554ccffeW0TNHKymcQvFwX","type":"text","text":"Three good starting points, in order of usefulness:\n\n1. **Search subsystem README** — `lib/search/README.md` (977 lines). Architecture overview, module map, and module relationships. The §3 module structure table maps all 65 files to their roles.\n\n2. **`lib/search/pipeline/`** — The orchestration directory. Start there if you know the bug is in the search flow (query → fusion → rerank → result).\n\n3. **Top relevant spec folders** if you need bug history:\n   - `023-hybrid-rag-fusion-refinement/007-hybrid-search-null-db-fix` — a prior null-DB search fix\n   - `022-hybrid-rag-fusion/015-manual-testing-per-playbook/008-bug-fixes-and-data-integrity` — recent bug fix batch\n\nWhat kind of search bug is it? Knowing whether it's results quality (reranker/fusion), missing results (index/query), or a crash (null handling/pipeline) would narrow this further.","time":{"start":1777229069759,"end":1777229069759}}}
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