Report
Report: GraphRAG for GenAI Accuracy
Published July 2024
Benchmark and analysis showing how knowledge graph retrieval improves GenAI accuracy on complex, multi-hop enterprise queries.
What you’ll learn
- Benchmark methodology for measuring GenAI accuracy on enterprise queries
- Where knowledge-graph retrieval outperforms vector-only approaches
- The impact of multi-hop reasoning on answer quality
- Takeaways for teams choosing a retrieval architecture
Download this resource — free.
Get instant access to the full PDF.
Trusted by leading enterprises
Related resources
Whitepaper
Semantic GraphRAG: A Complete Overview
The full story on Semantic GraphRAG — why knowledge graphs outperform vector-only RAG, the architecture behind Fluree’s approach, and how to put it into production.
Download →
Whitepaper
AI Playbook for Insurance Carriers
A practical playbook for insurance carriers building AI on top of policy, claims, and underwriting data — without ripping out existing systems.
Download →
Whitepaper
AI Playbook for Regional Banks
How regional and community banks can deploy AI grounded in their own customer, transaction, and servicing data — with governance and provenance built in.
Download →