# Vespa and Cohere (Integration Guide)

<img src="../img/fern/assets/images/912a0a4-vespa-logo.png" alt="">

[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.

## Related pages

- [Elasticsearch and Cohere (Integration Guide)](./integrations-elasticsearch-and-cohere.md)
- [MongoDB and Cohere (Integration Guide)](./integrations-mongodb-and-cohere.md)
- [Redis and Cohere (Integration Guide)](./integrations-redis-and-cohere.md)
- [Haystack and Cohere (Integration Guide)](./integrations-haystack-and-cohere.md)
- [Pinecone and Cohere (Integration Guide)](./integrations-pinecone-and-cohere.md)
- [Weaviate and Cohere (Integration Guide)](./integrations-weaviate-and-cohere.md)
- [Open Search and Cohere (Integration Guide)](./integrations-opensearch-and-cohere.md)
- [Qdrant and Cohere (Integration Guide)](./integrations-qdrant-and-cohere.md)
- [Milvus and Cohere (Integration Guide)](./integrations-milvus-and-cohere.md)
- [Zilliz and Cohere (Integration Guide)](./integrations-zilliz-and-cohere.md)

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