GraphRAG by FalkorDB: A Knowledge Graph App You Can Actually Question

GraphRAG by FalkorDB is a hosted web application designed to transform unstructured documents into a queryable knowledge graph, providing users with verifiable and connected answers. Unlike traditional vector search methods, which often return disjointed text chunks, GraphRAG extracts entities and relationships from documents to create a cohesive knowledge graph. This approach enables more accurate retrieval of information, grounded in the actual context of the documents, and provides explainability through source context and an explainability subgraph. Users can upload documents, which are ingested, chunked, and resolved for duplicates, resulting in a denser and more informative graph with each addition. The platform supports a wide range of LLM providers and offers features such as real multi-tenancy and an embeddable chat widget that allows the graph to be integrated into websites. GraphRAG thus enables organizations to turn their document collection into an interactive resource for retrieving reliable answers, with the added benefit of explainable provenance.

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