2 commits

Author	SHA1	Message	Date
Kayzo	f5cea7c51e	fix(memory): batch onnx embeddings and sqlite-vec ops ... Make the ONNX + sqlite-vec memory path truly batched. Batch ONNX embed_batch calls, batch sqlite-vec index/remove work under a single cached connection, and update MCP warm-up to use batch embed/save/index flows. Add focused regression tests for ONNX batching, sqlite-vec single-connection batch behavior, and MCP warm-up batching. Skip the MCP-specific test when optional MCP dependencies are not installed. Refs #240	2026-04-24 09:49:28 +00:00
chopratejas	84ad47eba9	Add SQLiteVectorIndex using sqlite-vec for bounded vector search ... A SQLite-based alternative to HNSWVectorIndex offering: - True CRUD operations (real deletes, not marks) - Bounded memory via SQLite page cache (default 8MB) - Persistent storage by default - Cosine similarity search - Native integration potential with FTS5 for hybrid search New files: - headroom/memory/adapters/sqlite_vector.py: Implementation - tests/test_sqlite_vector_index.py: 16 comprehensive tests Dependencies: - sqlite-vec added as optional dependency (pip install sqlite-vec) - Requires Python built with loadable extension support Key advantages over HNSWVectorIndex: - No SIGILL crash risk (pure C, no AVX requirement) - True deletes (not just marks, space actually reclaimed) - Simpler persistence (SQLite handles it automatically) - Consistent with SQLiteGraphStore (same technology stack)	2026-02-01 21:23:09 -08:00