Streamlit PDF Q&A App

This is a Streamlit web application that allows users to upload a PDF document and ask questions about its content. The application uses a Retrieval-Augmented Generation (RAG) pipeline built with LangChain to provide accurate, document-grounded answers.

Features

• PDF Upload: Upload any PDF file directly through the web interface.
• Intelligent Q&A: Ask questions about the content of the PDF.
• LangChain Integration: Utilizes LangChain for document loading, splitting, and the RAG pipeline.
• Streamlit UI: A simple and intuitive user interface built entirely with Python.
• OpenAI Embeddings: Converts document chunks into vectors for semantic search.

Technologies Used

• Streamlit: For the web application framework.
• LangChain: For building the LLM application pipeline.
• OpenAI: Provides the embedding and chat models (gpt-5).
• PyPDFLoader: For loading PDF documents.

How to Run the Application Locally

1. Clone the repository:

   git clone [https://github.com/](https://github.com/)<bimal1023>/<langchain-pdf-chatbot>.git
   cd <langchain-pdf-chatbot>
   

2. Install the required libraries:

   pip install -r requirements.txt
   

3. Set up your OpenAI API key: The application will prompt you for your key in the web UI. Alternatively, you can set it as an environment variable:

   export OPENAI_API_KEY="your_api_key_here"
   

4. Run the Streamlit app:

   streamlit run app.py
   

   The application will open in your browser.

License

This project is licensed under the MIT License.

Built With

• langchain
• openai
• python