Mistral and Chroma Vector Database RAG Application
Mistral LLM is a powerful language model that can be used for various applications such as text classification, sentiment analysis, and question-answering. However, the full potential of Mistral LLM can only be realized when it is integrated with a vector database like Chroma Vector Database to create a RAG (Recallable AI Guide) application. In this proposal, we will discuss the problem statement, solution overview, benefits of the solution, our proposal, implementation plan, and pricing and packages for integrating Mistral LLM with Chroma Vector Database. Our solution involves creating a script that connects Mistral LLM with Chroma Vector Database to create a RAG application. The Streamlit application that we created does 3 things Create a normal chat interface to converse with Mistral 7B Create a RAG application to let you chat with your documents and save them to a Chroma DB Make a connection with an existing Chroma DB and chat with this
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Nils Jennissen
Data Scientist
Ruben Tak
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