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v0.1.3 - Semantic search via embeddings (Phase A)

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@knight22-21 knight22-21 released this 06 Sep 06:41
· 111 commits to main since this release
v0.1.3
33d4bd8

Phase A: Semantic Search

search_symbol now supports embedding-based semantic search.

New features

  • codeprism index --embeddings: builds ChromaDB vector index alongside the graph
  • index_project MCP tool: new embeddings param
  • search_symbol finds symbols by meaning, not just name substring
  • Falls back to substring search silently if embeddings not built
  • enable_embeddings = true in .codeprism.toml wires semantic search into MCP server

Usage

pip install 'codeprism-ai[embeddings]'
codeprism index /path/to/project --embeddings

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