RAG-Project-using-LLAMA

Harnessing the LLAMA framework, this project constructs a dynamic information retrieval system, adept at swiftly delivering precise responses and extracting insights from document repositories using advanced NLP techniques.

The project revolves around leveraging the LLAMA (Language Learning for Machines) framework to build an information retrieval system. This system aims to efficiently handle queries and provide relevant responses based on a corpus of documents. In this project, we'll walk through the implementation steps using a Google Colab notebook.

The output includes various responses to queries, along with their sources.

Additionally, it demonstrates the loading and creation of an index, ensuring persistence for future use.