3 Commits

Include renames

Author	SHA1	Message	Date
saidsurucuandClaude Opus 4.7	42731a2c03	feat(semantic_search): make embedding model configurable (#22) ... google/gemini-embedding-001 became paid on OpenRouter, leaving users without credit unable to run the semantic_search tool. The old code hardcoded the model and 3072 dimensions in three places. Make OpenRouterEmbedder accept model/dimension via constructor args or OPENROUTER_EMBEDDING_MODEL / OPENROUTER_EMBEDDING_DIMENSION env vars, with the previous values as backward-compatible defaults. Switch the VectorStore and the response payload in mcp_server_main to read embedder.dimension instead of the hardcoded 3072 so a configured non-Gemini model does not produce shape mismatches. Bad dimension input (non-int or non-positive) now raises a clear ValueError instead of a downstream shape error. Documented the new env vars in .env.example. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-03 01:46:33 +03:00
saidsurucu	77e2748ade	feat(semantic-search): Replace local embedding model with OpenRouter API ... - Replace EmbeddingGemma local model with OpenRouter API integration - Use google/gemini-embedding-001 model via OpenRouter (3072 dimensions) - Add conditional tool registration: auto-disable if OPENROUTER_API_KEY not set - Add openai and numpy dependencies to pyproject.toml - Update .env.example with OPENROUTER_API_KEY configuration - Fix ruff lint issues in semantic_search module	2025-12-13 18:33:47 +03:00
saidsurucuandClaude	e771c5b3c5	feat: Add semantic search module ... Add semantic search capabilities with: - embedder.py: Text embedding operations - processor.py: Document processing - vector_store.py: Vector storage and retrieval 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>	2025-12-13 17:15:12 +03:00