https://github.com/itsjavi/llama3-rag-chatbot

Chatbot UI that can answer questions about any webpage. Built with LangChain, OLlama, Llama3, ChromaDB and Gradio.
https://github.com/itsjavi/llama3-rag-chatbot

chatbot langchain llama3 ollama rag

Last synced: about 13 hours ago
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Chatbot UI that can answer questions about any webpage. Built with LangChain, OLlama, Llama3, ChromaDB and Gradio.

• Host: GitHub
• URL: https://github.com/itsjavi/llama3-rag-chatbot
• Owner: itsjavi
• Created: 2024-05-19T19:09:05.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-05-19T19:14:57.000Z (6 months ago)
• Last Synced: 2024-10-29T08:36:02.904Z (11 days ago)
• Topics: chatbot, langchain, llama3, ollama, rag
• Language: Python
• Homepage:
• Size: 117 KB
• Stars: 1
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Llama3 RAG Chatbot

This project provides the basics and demonstrates how to use Llama3 and a vector DB to create a chatbot that can answer questions about any webpage.

Built using: LangChain, OLlama, Llama3, ChromaDB and Gradio UI

![screenshot](demo.png)

## Pre-requisites

- Python 3.11 or higher

- OLlama server running

> Only tested on macOS Sonoma with Python 3.11.x

## Setup

1. Create a virtual environment:

   ```bash

   python -m venv .venv

   source .venv/bin/activate

   ```

2. Install dependencies:

   ```bash

   pip install -r requirements.txt

   ```

3. Run the app:

   ```bash

   python main.py

   ```

> You might need to replace `python` with `python3` depending on your system.

## References

- https://python.langchain.com/v0.1/docs/integrations/document_loaders/source_code/

- https://www.trychroma.com/

- https://www.youtube.com/watch?v=O7RdEyRsatw