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.

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Polyvia is a Visual Knowledge Index that enables AI agents to reason across visual data like charts, diagrams, and infographics. Unlike traditional tools that only extract or index text, Polyvia uses VLM-OCR extraction to convert visual content into structured logic, creates a graph-based facts ontology to disambiguate information, and provides agentic visual reasoning with audit-ready citations. It's available via API, MCP Server (for Claude, Cursor), and Polyvia Studio interface, targeting developers building multimodal agents and knowledge-work teams in research, finance, and healthcare.

Polyvia: Pinecone for visual data - Visual Knowledge Index for Agents

<p>Interesting idea. Most pipelines stop at “extract text from images,” but turning charts/diagrams into structured, queryable facts is where real value is for agents.
The graph + citations part sounds especially useful for research and audit-heavy workflows. Curious to see how it handles messy real-world visuals.</p>
