administrator 797de01e60 Add batch embeddings to avoid MCP timeout on store_conversation ...

store_conversation now collects all texts (summary + key_memories)
and calls Voyage AI once via get_embeddings_batch() instead of N
sequential calls. Prevents MCP timeout for sessions with many memories.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-06-07 06:45:28 +02:00

..

requirements.txt

Upgrade Knowledgebase to native pgvector (VECTOR type + ivfflat index)

2026-06-06 13:21:37 +02:00

schema.sql

Fix pgvector integration: VECTOR(512) for voyage-3-lite, register_vector on connect

2026-06-07 06:16:16 +02:00

server.py

Add batch embeddings to avoid MCP timeout on store_conversation

2026-06-07 06:45:28 +02:00

setup_db.py

Add Knowledgebase MCP server — persistent memory for Claude conversations

2026-06-06 11:55:26 +02:00