RAG enabled Chatbots using LangChain and Databutton

The library for character-driven AI experiences.

A Retrieval Augmented Generation (RAG) system using LangChain, Ollama, Chroma DB and Gemma 7B model.

Open source implementation of Sova - RAG-based Web search engine using power of LLMs. Using Langchain, Ollama, HuggingFace Embeddings and scraping google search results.

This project is based on the Cocktail Recommendation System, which utilizes the Retrieval-Augmented Generation (RAG) approach to provide users with personalized cocktail recommendations based on their queries.

This RAG Streamlit app lets users chat with PDF documents using Gemini and Google's generative AI. Upload PDFs, process text, and get intelligent answers to your questions.

Ce projet est destiné aux utilisateurs souhaitant extraire et analyser des informations de plusieurs fichiers PDF.

Optimizing a Retrieval-Augmented Generation (RAG) system on the CNN/Daily Mail dataset using LangChain, with performance benchmarking and analysis via RAGAS.

Educational toolkit for all things RAG (Retrieval Augmented Generation)

Agentic RAG for journalling

A set of scripts to build a RAG from the videos of a YouTube channel

Nova Poshta Hackathon

A public repository for all things RAG (Retrieval Augmented Generation)

real-time, multi-modal, vector embedding pipeline

This repo is for advanced RAG systems, each branch will represent a project based on RAG.

RAG-nificent is a state-of-the-art framework leveraging Retrieval-Augmented Generation (RAG) to provide instant answers and references from a curated directory of PDFs containing information on any given topic. Supports Llama3.1 and OpenAI Models via the Groq API.

This repository contains a Streamlit-based Document Question Answering System implementing the Retrieve-and-Generate (RAG) architecture, utilizing Streamlit for the UI, LangChain for text processing, and Google Generative AI for embeddings.