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Server now starts serving vector-only queries in ~1-2 minutes instead of 30-60 minutes. GraphRAG initializes in a background task and its tool is dynamically added to the agent when ready. - Cache extracted triples to disk (neo4j_triples.pickle) so Neo4j can be repopulated without expensive LLM re-extraction - Split initialize_global_index() into initialize_vector_index() (fast) and initialize_graphrag_components() (background) - Add graphrag_ready/graphrag_initializing status flags to shared_state - Launch GraphRAG init as asyncio background task in main.py - Report GraphRAG status in /status endpoint for frontend awareness - Add comprehensive migration guide for applying to other projects Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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| docker-compose-neo4j.yml | ||