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LangChain-PDF-Chatbot-OpenAI
LangChain PDF Chatbot is an intelligent, conversational assistant built with Python, LangChain, OpenAI's GPT models, and FAISS vector search. It allows users to upload a PDF document and interact with its content through natural language questions, leveraging Retrieval-Augmented Generation (RAG) to deliver accurate, context-aware answers.
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🤖 LangChain PDF Chatbot
LangChain PDF Chatbot is an intelligent, conversational assistant built with Python, LangChain, OpenAI's GPT models, and ChromaDB vector search. It allows users to upload a PDF document and interact with its content through natural language questions, leveraging Retrieval-Augmented Generation (RAG) to deliver accurate, context-aware answers and used the predifine prompt.
📸 Screenshots Gradio UI
🚀 Features
- 📄 PDF Upload: Accepts user-uploaded such as PDF files for processing.
- 🧠 RAG-based QA: Uses LangChain's Retrieval-Augmented Generation pipeline for precise answers.
- 🔍 ChromaDB Vector Search: Efficient and fast semantic search on document embeddings.
- 🤖 GPT-powered Responses: Generates high-quality answers using OpenAI’s GPT-3.5/4 models.
- 🖥️ Gradio Interface: Clean and user-friendly web UI for interacting with the chatbot.
- 🧩 Prompt Selector: Choose from different prompt styles in UI (e.g. Summary, Explanation, Short Answer).
📦 Tech Stack
- Python 3.8+
- LangChain
- OpenAI API
- Croma ( Open-source vector database for embeddings)
- Gradio
- PyMuPDF / pdfplumber for PDF parsing
🛠️ Installation
- Clone the Repository