You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
CodeChat: Enabling interaction with codebases present in GitHub repositories. Seamlessly explore, query, and discuss code with a powerful RAG pipeline, making coding intuitive and efficient
A Retrieval-Augmented Generation (RAG) based Medical Chatbot. With the base model as Llama2 from Meta, the Retrieval system uses a medical document as corpus to generate context-rich output.
Dive into LangChain, a powerful platform that lets you interact with your data like never before. This guide offers insights on its unique capabilities, helping you tap into your data in conversational ways.
"Chat with Databases using RAG" is a cutting-edge project that seamlessly integrates natural language inputs with database interactions. By leveraging advanced techniques like RAG and few-shot learning, it generates SQL queries from plain text and retrieves human-like responses from the database, revolutionizing the way we interact with data.
just attempting to build a retrieval augmented generation package primarily focused on the antropic llm claude AI if everything goes as planned will start working on other LLMS. I'll appreciate the opportunity to talk about this.