Code Interpreter Powered RAG

Tentative Submission: Please go here: https://github.com/sprites20/Sprites-RAG-Project/tree/main The program integrates with the TogetherAI API for the Large Language Model (LLM) and utilizes LlamaIndex Cohere embeddings and Cohere rerank to find and process documents. It is capable of retrieving relevant documentation locally and generating a program sequence for execution. This sequence, when run, generates output text that the system uses for its responses. The key enhancement this program provides to RAG's capabilities is the addition of a full code interpreter. This interpreter significantly improves RAG's ability to process information and generate accurate results, particularly in the realm of numeric computations. It also allows RAG to execute functions as requested by the user, expanding its utility and versatility. By leveraging the TogetherAI API and Cohere technology, this program enhances RAG's functionality across a wide range of tasks. It enables RAG to provide more detailed and accurate information, as well as perform calculations and execute functions, making it a more powerful tool for users seeking information and computational assistance.