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,...
Q&A-and-RAG-with-SQL-and-TabularDatais a chatbot project that utilizes GPT 3.5, Langchain, SQLite, and ChromaDB and allows users to interact (perform Q&A and RAG) with SQL databases, CSV, and XLSX files using natural language. Features: ...
The key frameworks used in this project include OpenAI, LangChain, LangGraph, LangSmith, and Gradio. The end product is an end-to-end chatbot, designed to perform these tasks, with LangSmith used to monitor the performance of the agents. Features: Handles unstructured data with RAG and ...