Popular GitHub Repositories for Huggingface Embeddings

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In this project I have built an end to end advanced RAG project using open source llm model, Mistral using groq inferencing engine.

In this end to end project I have built a RAG app using ObjectBox Vector Databse and LangChain. With Objectbox you can do OnDevice AI, without the data ever needing to leave the device.

Chat With Documents is a Streamlit application designed to facilitate interactive, context-aware conversations with large language models (LLMs) by leveraging Retrieval-Augmented Generation (RAG). Users can upload documents or provide URLs, and the app indexes the content using a vector store called Chroma to supply relevant context during chats.

In this project I have built an advanced RAG Q&A chatbot with chain and retrievers using Langchain

Retrieval-Augmented Generation on YouTube transcripts and PDFs to deliver accurate and contextual answers.

Conversational RAG with PDF and chat history

A RAG Model ChatBot for jamia Millia Islamia

Analysis Agent on Llamaindex Typescript with a simple caching mechanism

MindfulLibrary is an LLM-driven book recommendation system that helps users discover books tailored to their interests, mood, and preferences. Built using Machine Learning, NLP, and Gradio, this project leverages semantic search techniques to provide personalized recommendations based on categories, themes, and tones.

Converse is a demo application showcasing conversational AI using DeepSeek R1, Hugging Face embeddings, and LLaMA Index. It features natural dialogue capabilities, Chroma DB vector storage, and a user-friendly Gradio interface for seamless human-AI interaction.