---
title: Contextual ChatBot
emoji: 💬
colorFrom: yellow
colorTo: purple
sdk: gradio
sdk_version: 5.42.0
app_file: app.py
pinned: false
hf_oauth: true
hf_oauth_scopes:
- inference-api
short_description: 'Contextual Chatbot using Python, LangChain, Llama3.2 (3B)'
long_description : 'This project is a Contextual PDF ChatBot built with Python, Ollama, LangChain, and ChromaDB.  
                    It enables users to upload documents (PDFs or images) and interact with them through natural language queries.  

                  - **Flask** powers the backend APIs for document upload, query handling, and retrieval.  
                  - **MongoDB** stores document metadata and conversation history, ensuring persistent and contextual chat.  
                  - **ChromaDB** manages vector embeddings for efficient semantic search and retrieval.  
                  - **Llama 3.2 (3B)** is used as the language model, running locally via Ollama.  
                  
                  Together, this system provides an end-to-end RAG (Retrieval-Augmented Generation) pipeline for intelligent, 
                  document-aware conversations.  
'
---

An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).