Commit 43ffb03
feat(code): replace vector RAG with Sirchmunk-inspired agentic search
Replace embedding-based vector search with intelligent multi-phase code search
inspired by the Sirchmunk paper (https://github.com/modelscope/sirchmunk).
## Added
- agentic_search tool with 3 modes:
- FAST: 2-level keyword cascade (2-5s)
- DEEP: Monte Carlo evidence sampling with Gaussian importance sampling (10-30s)
- FILENAME_ONLY: Quick file discovery
- IDF-weighted relevance scoring
- File type awareness (code 1.2x, config 1.0x, docs 0.9x)
- Automatic keyword extraction with stop word filtering
- ripgrep_provider: Ripgrep-based context provider
- knowledge_cluster: Sirchmunk-inspired clustering (future feature)
- agentic-search skill definition
## Removed
- embedding.rs: Embedding-based vector search
- vector_provider.rs: Vector RAG context provider
- vector_store.rs: Vector store implementations
- codesearch.rs: Old code search tool
## Changed
- README.md: Add agentic_search to tools table, update test count (1505 → 1471)
- mod.rs: Register agentic_search tool, remove vector RAG imports
- builtin.rs: Add agentic-search skill
- registry.rs: Update skill loading
## Tests
- 12 new tests for agentic_search (all passing)
- 9 new tests for knowledge_cluster (all passing)
- Total: 1471 tests passing1 parent 0636a67 commit 43ffb03
14 files changed
Lines changed: 1901 additions & 1933 deletions
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- core
- skills
- src
- context
- skills
- tools
- builtin
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