Report: GraphRAG for GenAI Accuracy

A report on reducing hallucinations and increasing accuracy for enterprise production Generative AI through the use of Knowledge Graph RAG (Retrieval Augmented Generation).

In This Whitepaper, We Cover:

  • RAG (Retrieval Augmented Generation) as a method to ground LLMs in enterprise data
  • Advances in knowledge graph technology to reduce risk of inaccuracy in LLM applications through RAG, enabling their use in the most strategic and differentiating scenarios, and achieving the highest levels of productivity and ROI.
  • A study conducted by Fluree comparing RAG against centralized relational databases, legacy knowledge graphs, and decentralized knowledge graphs.

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