Launching today
Polyvia
Queryable visual knowledge index for agents
72 followers
Queryable visual knowledge index for agents
72 followers
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.
Polyvia
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: mateusz@polyvia.ai)
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 is the first Visual Knowledge Index for Agents & MCPs - queryable index of facts for visual data. Think "Pinecone for visual data" - but with agentic visual reasoning.
Turn scattered visuals into a queryable source of truth with every fact disambiguated.
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What Polyvia does:
• VLM-OCR Extraction — Charts, tables, diagrams, infographics → structured visual logic
• Facts-Ontology Indexing — Disambiguate and connect facts into a graph-based single source of truth
• Agentic Visual Reasoning — Query for answers with audit-ready citations, or explore topics
Example:
Query: "What's the difference between revenue of Company-A and Company-B in the last quarter?"
❌ Text-Only Agent/RAG: "I cannot find specific revenue numbers in the text."
✅ Polyvia:
→ "Company-A Q4 revenue: $10.67M [Chart; page 12; doc 6367]"
→ "Company-B Q4 revenue: $7.05M [Infographic; page 91; doc 65220]"
→ "Difference: $3.62M"
2 ways to access:
• 🔌 Polyvia API & Polyvia MCP Server — available through REST API and our MCP Server for Claude, Cursor, and more
• 🖥️ Polyvia Studio — visual search and exploration for knowledge-work teams in research, finance, healthcare
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We are currently in private Beta (Polyvia-0.5). We will be fast-tracking ProductHunt users throughout the day.
🚀 Get early access → polyvia.ai/#access (or send email to: mateusz@polyvia.ai)
📖 Read the full story → Polyvia Blog - Rethinking RAG for Visual Data
can we plug Polyvia directly into Claude or other agents as a standard tool?
Polyvia
@lightninglx
Yes! We have an MCP Server that plugs directly into Claude, Cursor, and any MCP-compatible client.
Setup takes ~2 minutes — connect and your agent can query visual knowledge with citations.
We also have a REST API if you prefer direct integration.
Happy to help you get set up Xiang — feel free to DM me!
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 it handle real-time agent workflows?
Polyvia
@philip_sorensen
It's built for real-time agent workflows, not just batch research.
On moderately-sized datasets, both ingest and query are fast enough for production use.
For 10k+ docs, the index is pre-built so queries stay snappy — you're not re-processing visuals on every call.
The MCP integration means you can test this in your existing Claude setup in a couple minutes.
Happy to help you benchmark on your own docs if you want to try it.
Shoot me a message at mateusz@polyvia.ai or I can fast-track your email from https://polyvia.ai/#access
-- Mateusz