2 Commits

Author	SHA1	Message	Date
administrator	eef9495ecb	Upgrade Knowledgebase to native pgvector (VECTOR type + ivfflat index) ... - Migrated embedding column from double precision[] to VECTOR(1024) - Now uses native <=> cosine operator for SQL-level vector search - Added pgvector to requirements - Fixed collation mismatch on all DBs after pgvector/pgvector:pg18 image swap Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-06-06 13:21:37 +02:00
administrator	f9dc61e32c	Add Knowledgebase MCP server — persistent memory for Claude conversations ... PostgreSQL-backed knowledge store with hybrid search: - Full-text search via tsvector (always available) - Semantic reranking via Voyage AI embeddings + Python cosine similarity - Tables: kb_memories, kb_sessions, kb_messages - Tools: store_memory, store_conversation, search, get_context, get_recent, stats Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-06-06 11:55:26 +02:00