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Mistral + Weaviate

Mistral offers a wide range of models for natural language processing and generation. Weaviate seamlessly integrates with Mistral's APIs, allowing users to leverage Mistral's models directly within the Weaviate database.

These integrations empower developers to build sophisticated AI-driven applications with ease.

Integrations with Mistral

Embedding integration illustration

Mistral's embedding models transform text data into high-dimensional vector representations, capturing semantic meaning and context.

Weaviate integrates with Mistral's embedding models to enable seamless vectorization of data. This integration allows users to perform semantic and hybrid search operations without the need for additional preprocessing or data transformation steps.

Mistral embedding integration page

Generative AI models for RAG

Single prompt RAG integration generates individual outputs per search result

Mistral's generative AI models can generate human-like text based on given prompts and contexts.

Weaviate's generative AI integration enables users to perform retrieval augmented generation (RAG) directly within the Weaviate database. This combines Weaviate's efficient storage and fast retrieval capabilities with Mistral's generative AI models to generate personalized and context-aware responses.

Mistral generative AI integration page

Summary

These integrations enable developers to leverage Mistral's powerful models directly within Weaviate.

In turn, they simplify the process of building AI-driven applications to speed up your development process, so that you can focus on creating innovative solutions.

Get started

You must provide a valid Mistral API key to Weaviate for these integrations. Go to Mistral to sign up and obtain an API key.

Then, go to the relevant integration page to learn how to configure Weaviate with the Mistral models and start using them in your applications.

Questions and feedback

If you have any questions or feedback, let us know in the user forum.