Initial implementation of agentic rag for multi documents - example using Mistral LLM.

Implementation of agentic rag for jupyter notebooks - example

Multi Agentic RAG

Implementation of rag using llama Index - source

- separate query pipeline using panadas dataframe for analyzing csv files
- separate agent for evaluating trained model
- top level agent for picking the best agent for the task

To run the code using flask server, run the following command:

- python server.py