# Mistral AI

On Epsilla Cloud, you can enable Mistral AI integration by providing your Mistral AI API key (we securely manage your keys using AWS KMS):

<figure><img src="https://2532879721-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FM0ZX7fId7ifK45ldHWEp%2Fuploads%2Fgit-blob-4e99ba53ec47bea47721b84f73fc33071b1c02f1%2FScreenshot%202024-02-13%20at%2011.22.05%20AM.png?alt=media" alt=""><figcaption></figcaption></figure>

## Embeddings

Epsilla integrates with Nomic AI with the following embedding models.

| Name                        | Dimensions |
| --------------------------- | ---------- |
| **mistralai/mistral-embed** | 1024       |

For Epsilla open source vector db, you just need to add a header in the data ingestion and semantic search queries [like this](https://epsilla-inc.gitbook.io/epsilladb/advanced-topics/embeddings#mistral-ai-embedding).

Then you can start using the nomicai embedding model during vector table schema creation:

<figure><img src="https://2532879721-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FM0ZX7fId7ifK45ldHWEp%2Fuploads%2Fgit-blob-3cc4afbcb21097572aabb2eebdbe8b30c58e5739%2FScreenshot%202024-02-13%20at%2011.23.40%20AM.png?alt=media" alt=""><figcaption></figcaption></figure>