Next, a vector database such as FAISS was used to implement a QA (Question Answering) search engine, which allows users to find answers to questions related to the material covered in the lecture. The langchain library was used to integrate different language models. As part of the project,...
This repository contains advanced LLM-based chatbots for Q&A using LLM agents, and Retrieval Augmented Generation (RAG) and with different databases. (VectorDB, GraphDB, SQLite, CSV, XLSX, etc.) - gab-e-ai/Advanced-QA-and-RAG-Series
This repository contains advanced LLM-based chatbots for Q&A using LLM agents, and Retrieval Augmented Generation (RAG) and with different databases. (VectorDB, GraphDB, SQLite, CSV, XLSX, etc.) - chavan-arvind/Advanced-QA-and-RAG-Series