
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
20 Oct 2023

Our team harnessed the power of OpenAI's shap-e and gpt4all technologies to transform mere text into tangible 3D objects, all within a tight timeframe. But what sets our project apart is our commitment to sustainability and resourcefulness. We utilized recycled plastic filament as our raw material and self-assembled 3D printers for production. This project is not just about technological innovation. It's about envisioning a future where personalized consumer goods, from furniture to fashion items, can be produced on demand using sustainable materials. Join us as we delve deeper into this exciting journey of combining AI, 3D printing, and sustainability to revolutionize the manufacturing landscape.
14 Aug 2023