GibRAM: In-Memory Knowledge Graph Server for RAG and GraphRAG Workflows
By
ktyptorio
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Summary
GibRAM is an open-source in-memory knowledge graph server designed for retrieval augmented generation (RAG) and GraphRAG workflows. It combines a lightweight graph store with vector search capabilities, storing graph structures (entities and relationships) in RAM for fast retrieval. The system enables traversal between associated nodes via relationships while maintaining connections between related pieces of information in memory, making it particularly useful for retrieving related regulations, articles, or other connected data in RAG applications.
Key quotes
· 5 pulledGibRAM is an in-memory knowledge graph server designed for retrieval augmented generation (RAG / GraphRAG) workflows.
It combines a lightweight graph store with vector search so that related pieces of information remain connected in memory.
Graph in-Buffer: Graph structure (entities + relationships) stored in RAM
Retrieval: Query mechanism for retrieving relevant context in RAG workflows
Associative Memory: Traverse between associated nodes via relationships, all accessed from memory
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