A self-hosted, offline, ChatGPT-like chatbot that allows document uploads, powered by Llama 2, chromadb and Langchain. 100% private, with no data leaving your device. New: Support for Code Llama models.

Chatbot for Indian Law using Llama-7B-chat using Langchain integration and Streamlit UI.

Knowledge chatbot using Agentic Retrieval Augmented Generation (RAG) techniques. Full-stack proof of concept built on langchain, llama-index, django, pgvector, with multiple advanced RAG techniques used.

A high-performance Q&A chatbot that uses the Groq API and Llama 3 for real-time, context-aware answers from multiple PDF documents. This project leverages LangChain for orchestration, FAISS for local vector search, and Streamlit for an interactive user interface. Ideal for efficient and private document analysis.

a Retrieval-Augmented Generation (RAG) multi-document chatbot application using Llama 3, Langchain, Streamlit, and Groq API

Document QA Chatbot using LLaMA 2, FAISS, and LangChain

It shows a chatbot using Llama 2 based on LangChain.

PrepNexus is an AI-driven system using a fine-tuned RoBERTa model for resume analysis and job role recommendations, built a LangChain-ChromaDB powered interview chatbot with LLaMA-3 (8B) for real-time technical Q&A, and implemented a BeautifulSoup-based job scraping pipeline to enhance job search efficiency by 40%.

This is a YouTube tutorial on how to create a chatbot using llama3.1 and langchain.

A Flask-based onboarding chatbot utilizing Retrieval-Augmented Generation (RAG) with Llama 3.1:8b, powered by LangChain. Designed to assist new employees with onboarding tasks through intelligent, context-aware responses.

AI chatbot for mental health advice using Streamlit, LangChain, and Llama 2 by Meta. Retrieves info from PDFs and offers real-time responses

Langchain powered drug ordering chatbot using function calling and llama 3

How to use Langchain to unlock the potential capability of language models like gpt-3.5-turbo or gpt-4 by demonstrating chatbot development that thrives on internet data

Revolutionising Investment Analysis with AI - Annual Reports Compared

A local PDF chatbot using LangChain, Streamlit, FAISS, and LLaMA or Hugging Face models.

A Retrieval-Augmented Generation (RAG) ChatBot using LangChain, HuggingFace, and Groq’s LLaMA model — allowing interactive Q&A on uploaded PDFs via a sleek Streamlit interface.

Medical Assistant Chatbot using a full-stack RAG (Retrieval-Augmented Generation) pipeline! This project combines powerful tools like LangChain, Pinecone, Google Embeddings, and Groq’s LLaMA 3 to create an intelligent, domain-specific chatbot that answers medical queries using real PDF documents.

HealthWhiz is an intelligent medical chatbot powered by a quantized Llama 2 model, integrated with LangChain and Chainlit. The system provides efficient and responsive healthcare consultations by leveraging advanced natural language processing techniques.

This project is a Medical ChatBot built using the Llama-2 model and Python, designed to provide accurate medical information. It uses a robust backend for data processing and a user-friendly frontend, leveraging technologies like Langchain, Flask, and Pinecone.

A full-stack Q&A chatbot built with React and Django, powered by LangChain and Hugging Face’s Meta-Llama-3-8B-Instruct model. Features a sleek, real-time chat interface for asking questions and receiving AI-generated answers, with a history-clearing option. Showcases seamless integration of AI-driven NLP with modern web development.

RAG powered AI chatbot for Indian Language (Hindi) using LangChain, Ollama, Qdrant, and MLFlow

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Q&A Chatbot using Llama3,Langchain and Groq API

A Question Answering(Q/A) Chatbot on Insurance Documents. Powered by Retrieval Augmented Generation(RAG), LlamaIndex and LangChain. Inspired from my Upgrad_IIITB PG Course.

A simple chatbot app using Python, Llama 2 , LangChain and GPT4ALL

Document Chatbot with LLAMA 3.1. using Groq , RAG (Langchain, Generative AI)

Chatbot using (Llama-2-7b-chat-hf quantized to 4bit) with LangChain - Streamlit and FastAPI

Run on your computer your own Telegram LLM chatbot using Ollama backed by models with Langchain or Llama-Index

Multi-user AI Chatbot Platform powered by Groq (Llama 3.3) & LangChain. Built with Django 5.2, PostgreSQL, and Docker.

RAG-powered Document Q&A app using Python, Streamlit, LangChain, FAISS, and HuggingFace embeddings. Supports multi-PDF ingestion, vector search, and high-speed Llama-3/Groq & OpenAI inference for accurate, context-aware answers. Modern Generative AI chatbot for knowledge retrieval.