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GraphRAG Services

Care-Intel GraphRAG turns natural-language questions into multi-hop traversals over our proprietary healthcare knowledge graph — then returns answers grounded in entities, relationships, and provenance rather than unverifiable document guesses.

Teams use GraphRAG to query providers, facilities, conditions, drugs, and clinical trials with citation-backed paths that stand up to clinical and commercial review.

What you get

  • Natural-language querying over a governed Memgraph knowledge graph
  • Multi-hop reasoning with entity lineage and source provenance
  • AI training packages (Parquet / JSONL) for copilots and agents
  • Monitor API integration for production workloads
Care-Intel GraphRAG explorer

Built for trustworthy healthcare AI

Generic vector RAG collapses on domain and regulatory questions. GraphRAG sits on Biolink / UMLS / SNOMED-aligned nodes and edges built from CMS, FDA, trial, and open clinical sources — so every answer can be traced back to the graph.

  • Fewer hallucinations — answers tied to graph evidence
  • Works with OpenAI, Anthropic, Gemini, or private LLMs
  • Same graph as Subgraphs and Analytics Platforms
  • Free sample path via Live Graph Playground (no login)

Next steps

Explore the proprietary graph sample without an account, or book a walkthrough of GraphRAG on your use case. Plans start on our pricing page.

Request Demo Live Graph Playground

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