Multimodal
Retrieval API
Most-accurate Multimodal Retrieval Infrastructure with Semantic Memory — for your AI agents
Core Engine
Capabilities of Polyvia
Organizing scattered multimodal and visual data into a unified knowledge graph queryable by AI agents.
Structured output
From visual documents
to structured facts
~80% of enterprise knowledge lives in visual form — charts, slides, financial reports, complex tables. Polyvia extracts the actual data, not just descriptions. "Revenue of Apple | Q4 2025 | $10.67B | bar chart | page 6" — not "this chart shows revenue."
| Metric | Q3 2024 | Growth |
|---|---|---|
| Revenue | $45.2M | +12% |
| Users | 1.2M | +8% |
| Churn | 2.1% | -0.5% |
| Net Retention | 118% | +3% |
Ontology Knowledge Graph
Facts connected,
not scattered
Every extracted fact linked by entity, time period, source, and metric type. Cross-reference EBITDA across 500 counterparty reports in sub-50ms. The graph compounds — every new document enriches the entire corpus.
Audit-ready answers
Every answer traced
back to source
Every response grounded in verifiable visual evidence — document, page, section, bounding box. Your agents produce answers teams can actually trust and audit.
Built for scale
From 5 files to
50,000 documents
Drag-and-drop into ChatGPT works for 5 files — not 5,000. When you don't know which documents contain the answer, you need an infrastructure layer that organizes data before it reaches your AI agent. That's Polyvia.
Developer experience
Three ways to use Polyvia
from polyvia import Polyvia
client = Polyvia(api_key=API_KEY)
# Batch ingest & wait for indexing
batch = client.ingest.batch(
["q4.pdf", "q3.pdf", "10k.pdf"],
group_id="g_earnings",
)
for item in batch:
client.ingest.wait(item.task_id)
# Query scoped to a group
answer = client.query(
"Compare EBITDA across all filings",
group_id="g_earnings",
).answer
"mcpServers": {
"polyvia": {
"type": "http",
"url": "https://app.polyvia.ai/mcp",
"headers": {
"Authorization":
"Bearer poly_<key>"
}
}
}
}
1. Sign up at
app.polyvia.ai
2. Upload PDFs, slides
& reports
3. Search with
natural language
4. Get cited answers
across your corpus
Integrations
Works with your stack
Polyvia for
Enterprise
Same product, on your infrastructure. Private deployment with direct integrations and full data control.
Book a Demo- ✓ On-prem / VPC deployment
- ✓ SOC2 compliant
- ✓ Integrations: S3, Snowflake, SharePoint, CRM, ERP
- ✓ BYOK — bring your own LLM
- ✓ Zero-training policy
Start building with
Multimodal Retrieval API
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