Queryable visual knowledge index for agents
Polyvia is the first Visual Knowledge Index for Agents & MCPs. Turn scattered visuals into a queryable source of truth with every fact disambiguated. Other tools extract visuals OR index text — Polyvia indexes and reasons over visuals, connecting facts across 10,000s of documents. Built for developers of multimodal agents and knowledge-work teams.
Hey Product Hunt 👋, this is Mateusz from the Polyvia AI team, and we're very excited to launch Polyvia today! 🚀 Get early access → polyvia.ai/#access (or send email to: [email protected] ) The problem: ~80% of enterprise knowledge lives in visual form — charts, slides, diagrams, infographics. Current AI tools either extract visuals OR index text - neither can reason across thousands of visual documents . The result? Agents hallucinate. Search fails. Insights stay buried. The solution: Polyvia i
Congrats on the launch! I just went through the site and watched the demo, the way you guys handle reasoning over visuals across thousands of documents is seriously impressive. Integrating this via an MCP server for Claude and Cursor is a game-changer for building multimodal agents. Fantastic concept.
The "charts live in PDFs that no RAG can touch" problem is very real. We've had situations where the answer to a question was clearly visible in a chart, but the AI kept saying "I cannot find that information." The MCP integration is smart - means you can plug this into existing Claude workflows without rebuilding everything. Curious about the latency - when you're querying across 10,000+ documents with visual reasoning, how fast is the response? Is this more of a batch/research use case or can
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The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
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A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.