> This page is for version v2 API (default).
> For other versions, use one of these documentation indexes:
> - v2 API (default): https://docs.cohere.com/v2/llms.txt
> - v1 API: https://docs.cohere.com/v1/llms.txt

> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.cohere.com/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.cohere.com/_mcp/server.

# Vespa and Cohere (Integration Guide)

> This page describes how to integrate Cohere with the Vespa database.

![](/_fern-files/cohere.docs.buildwithfern.com/4ca6605bc5d625928916f0b22085dfbec4b439c2a5108302829554526ab5dd42/assets/images/912a0a4-vespa-logo.svg)

[Vespa](https://vespa.ai/) is a fully featured search engine and vector database. It supports vector search (ANN), lexical search, and search in structured data, all in the same query. Integrated machine-learned model inference allows you to apply AI to make sense of your data in real time.

Check out [this post](https://blog.vespa.ai/scaling-large-vector-datasets-with-cohere-binary-embeddings-and-vespa/) to find more information about working with Cohere's embeddings on Vespa.