GibRAM an in-memory ephemeral GraphRAG runtime for retrieval
GibRAM is an in-memory knowledge graph server designed for retrieval augmented generation (RAG / GraphRAG) workflows. Flat RAG pipelines often fail to retrieve related articles together, even when they are clearly connected through references, definitions, or clauses.
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FastGraphRAG
github.comBetter RAG using good old PageRank
Analyzing Semantic Redundancy in LLM Retrieval (Google GIST Protocol)
news.ycombinator.comLast week, Google research published details on GIST (Greedy Independent Set Thresholding), a new protocol presented at NeurIPS 2025.
Open-source GraphRAG Application with your own data
hub.docker.comThis is an easy-to-use application for exploring your own data with retrieval augmented generation (RAG) backed by txtai.
Live Demo of GraphRAG with GPT-4o mini
graphrag-demo.deepset.aiHowever, a common critique is the LLM costs for constructing the knowledge graph.
SpRAG
github.comOpen-source RAG implementation for challenging real-world tasks