Vector Panda is a hosted vector database with Python SDK and REST API access for storing, querying, and managing vector collections. It provides metadata filtering, batch queries, schema management, file operations, and authentication for developers building retrieval systems.
Vector Panda is a Databases (SQL, NoSQL, vector, graph) project. Storing, querying, and managing vector data for semantic search and retrieval applications. It is built as a B2B product for developers building vector search and retrieval applications. It runs on the command line and API.
It is developed by Vector Panda. Among its 10 catalogued features are vector queries, metadata filtering, and batch queries. It exposes integrations via an MCP server and a public API.
Summary written by a language model from the project’s public pages.
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