FoxNose is a managed knowledge API for applications and AI agents. It generates embeddings, maintains hybrid vector and keyword search indexes, and provides a Knowledge MCP server from a defined data schema for developers building support agents, product copilots, and internal assistants.
FoxNose sits in PulseGate's RAG, search & retrieval category. It focuses on building AI agents over real data without stitching together databases, embedding services, search indexes, and tool catalogs. FoxNose is a B2B product aimed at developers building AI agents, support assistants, and product copilots. There is a free tier. It ships for the web, embeddable surfaces, and API.
Among its 8 catalogued features are schema-based resources, automatic embeddings, and hybrid search. 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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