How DeepSights’ RAG delivers trusted insights and reduces hallucinations

Explore the advanced features of Market Logic’s generative AI assistant for insights — DeepSights — designed to give you full transparency and control over your sources.
In this demo, you’ll see how DeepSights leverages a proprietary retrieval-augmented generation (RAG) framework to go beyond basic search and deliver validated, source-cited market insights you can rely on.

Key features demonstrated in the video:

  • Custom RAG workflow for market insights
    Tailored specifically for structured and unstructured market data — including reports, transcripts, charts, and internal databases.
  • Two main flows in action
    • Ingestion flow: Indexes and prepares content before any queries are asked
    • Live flow: Responds in real time with high-confidence insights when a question is submitted
  • Advanced hallucination prevention
    • Filters out misleading or low-confidence content using deep evidence analysis
    • Flags contradictions, outdated info, and regional limitations
  • Source validation & transparency
    • Every answer is cited back to the original document and page
    • Structured data answers include the SQL queries used
    • Supports full traceability and fact-checking
  • Support for unstructured & visual data
    • Understands and extracts insights from infographics and visual elements
    • Processes both qualitative reports and quantitative datasets
  • Query-specific recertification
    Ensures answers are valid within context (e.g. by region, product, or target audience)
  • Self-service exploration
    • Upload and interrogate documents in a personal sandbox
    • Manage and curate the source base behind the assistant

Example use cases from the demo:

  • Get market sizing and trend data with SQL-powered responses
  • Pull insights from a mix of text and infographics in PDFs
  • See source-level evidence for every insight generated
  • Surface contradictions or outdated sources automatically