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Raga AI

NHS — South Yorkshire ICB · Healthcare

Clinical Knowledge Assistant

Delivery context

Personally delivered by Raga AI founder Usman Bukhari through Usman Bukhari Ltd before establishing RAGA AI LTD.

Sector
Healthcare

Patients and staff needed reliable answers drawn from clinical guidelines, policy documents and regional service information.

Business challenge

A greenfield build in a clinical setting has no tolerance for hallucination or stale information, while service discovery was scattered across dozens of regional sites.

What was delivered

  • A clinical knowledge assistant grounded in approved NHS guidance, with answers traceable to their source material
  • Real-time web grounding blended with proprietary knowledge so responses reflect current regional information
  • Policy documents made searchable through OCR and combined keyword and meaning-based search, shortening the time to find an answer
  • The assistant exposed inside the NHS South Yorkshire GP app for patients and staff
  • An automated pipeline keeping regional service information up to date across many local sources

Security, governance and operational considerations

  • Answers grounded in approved sources, with no hallucinations observed across the agreed evaluation dataset
  • Retrieval kept within approved knowledge sources, with sanitisation applied before content reached the assistant
Technical implementation
  • Azure AI Agent SDK with LangGraph state orchestration, LangChain retrieval chains and LlamaIndex sanitisation
  • Document Intelligence OCR over policy PDFs into Azure AI Search with hybrid lexical and semantic retrieval
  • MCP server integration into the NHS South Yorkshire GP app
  • Event-driven Azure Functions pipeline with Crawl4AI collection across regional sites

Technology stack

  • Azure AI Search
  • LangGraph
  • Azure Functions
  • Crawl4AI

Related service: AI implementation services

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