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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.
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.
A Generative AI Application developed using Langchain Framework, OpenAI API and Pinecone Vector Database that helps in understanding a PDF. One can ask questions related to the PDF and the application will answer, clarifying their doubts.
This repository contains a simple and customizable implementation of Retrieval-Augmented Generation (RAG) using SQLModel, PostgreSQL with PGVector, and Cohere's embedding model. It accompanies the Medium blog post "Search with RAG: A Simple DIY Approach" offering a step-by-step guide to building your own RAG system.
OnboardingAI is a service that generates a personalized step-by-step onboarding process using LLMs along with RAG based on company, employee and specific management requirements.