# Vector Panda (vectorpanda.com)

Hosts vector indexes that store embedding vectors and run meaning-based similarity queries, choosing the index strategy automatically.

- Atlas card: https://inite.ai/en/atlas/vectorpanda.com
- Site: https://vectorpanda.com
- For: developers shipping search by meaning without operating a vector database themselves
- Categories: rag
- Use 0/100 · alive 87/100

## Used for

- search product catalogues, documents or images by meaning
- store embeddings produced by their own model
- run a semantic movie search from plot descriptions

## Price

- from 0.09 USD/month, no free plan (read 2026-10-25 on https://vectorpanda.com/pricing)

## For developers

- MCP server: com.vectorpanda/database (namespace; auth on 2026-10-25)
- MCP server: com.vectorpanda/docs (namespace; open on 2026-10-25, 8 tools)
- Read 2026-10-25

## MCP server, measured daily

Server: https://www.vectorpanda.com/mcp, checked every day since 2026-10-25 (3 checks).

- Answered: measuring, 3 daily checks so far
- Median first answer: 39 ms
- Sign-in: none
- Context its tool definitions take: about 675 tokens (8 tools)
- Tool definitions: A, 100/100
- Method: https://inite.ai/en/atlas/mcp/report

## Your data

- Certifications stated: none
- Read 2026-10-25

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Source: INITE Atlas, https://inite.ai/en/atlas/vectorpanda.com. JSON: https://inite.ai/api/atlas/vectorpanda.com. MCP: https://inite.ai/api/mcp (atlas_lookup).