Knowledge graphs & GraphRAG
Ground your AI in facts and the relationships between them — graph, vector and full-text search in one store.
Install GreyCat free For AI agents
The problem
RAG built on vector similarity alone loses the relationships between entities — and stitching a graph DB, vector DB and keyword index together is brittle and slow.
How GreyCat solves it
One store
Graph, vector and full-text search live together — no separate databases to sync.
Hybrid retrieval
Combine entities, relationships and embeddings in a single query.
Agents query directly
A built-in MCP server lets AI agents reach the graph with no glue code.
Point-in-time-correct retrieval that grounds LLM answers in the facts and the connections between them.