How to use retrieval augmented generation with ChromaDB and Mistral

1. 1Choose a language model for generation, such as mistral-7b-instruct
2. 2Select a model for embeddings, like bge-large-en
3. 3Set up a vector store using ChromaDB
4. 4Integrate the embedding model and vector store with the language model for retrieval augmented generation

This tutorial is beneficial for AI engineers and machine learning researchers who want to explore the capabilities of retrieval augmented generation, and software engineers who need to integrate such models into their applications.

💡 Retrieval augmented generation can be achieved by combining a language model with a vector store and embedding model

🤖 Learn retrieval augmented generation with ChromaDB & Mistral!