> For the complete documentation index, see [llms.txt](https://epsilla-inc.gitbook.io/epsilladb/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://epsilla-inc.gitbook.io/epsilladb/epsilla-vector-database/integrations/mistral-ai.md).

# 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="/files/Saua0rhS8CtohGsdDAUV" 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](/epsilladb/epsilla-vector-database/advanced-topics/embeddings.md#mistral-ai-embedding).

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

<figure><img src="/files/0HlbKYzlAXva7XXVRUNT" alt=""><figcaption></figcaption></figure>