This is a simple program that applies LangChain, RAG (Retrieval-Augmented Generation), and LLM (Large Language Models) to create a model capable of answer questions based on PDF files

1. Extracts data from a PDF file and converts it into embeddings
2. Stores the embeddings in a Vector Database for efficient retrieval
3. When a user inputs a prompt, the system searches the vector database to find the most relevant information
4. Uses an LLM to generate a response based on the retrieved data

This approach improves the accuracy of responses by combining retrieval-based search with generative AI

pip install poetry  
poetry install