Conversational RAG with PDF Uploads and Chat History

This project implements a conversational Retrieval Augmented Generation (RAG) system using Streamlit, allowing users to upload PDF documents and engage in a chat with the content of those documents. The system maintains chat history for a more natural conversational flow.

Features

• PDF Upload: Easily upload one or multiple PDF files.
• Conversational AI: Chat with the content extracted from the uploaded PDFs.
• Chat History: The system remembers previous turns in the conversation, allowing for context-aware follow-up questions.
• Groq Integration: Utilizes Groq for fast and efficient language model inference.
• HuggingFace Embeddings: Uses all-MiniLM-L6-v2 for generating document embeddings.
• Streamlit UI: Provides an intuitive web interface for interaction.

Setup and Installation

Follow these steps to set up and run the project locally:

Prerequisites

• Python 3.8+
• pip (Python package installer)

1. Clone the Repository

https://github.com/vishalpatel72/Conversational-QA-RAG-Chatbot-using-Langchain.git
cd Conversational-QA-RAG-Chatbot-using-Langchain

2. Create a Virtual Environment (Recommended)

python3 -m venv venv
source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install Dependencies

pip install -r requirements.txt

4. Set Up Environment Variables

Create a .env file in the root directory of the project and add your Groq API key:

GROQ_API_KEY="your_groq_api_key_here"
HF_TOKEN="your_huggingface_token_here" # Optional, but good practice for HuggingFaceEmbeddings

Replace "your_groq_api_key_here" with your actual Groq API key. You can obtain one from the Groq website. The HF_TOKEN is optional for HuggingFaceEmbeddings but can be useful for rate limits or private models.

Usage

To run the Streamlit application, execute the following command in your terminal:

streamlit run app.py

This will open the application in your web browser (usually at http://localhost:8501).

How to Use:

1. Enter your Groq API Key: Input your Groq API key into the provided text field.
2. Upload PDF Files: Use the "Choose A PDF file" button to upload one or more PDF documents.
3. Enter Session ID: (Optional) Provide a session ID to manage different chat histories. By default, it uses "default_session".
4. Ask Questions: Once the PDFs are processed, type your questions into the "Your question:" input field and press Enter. The assistant will respond based on the content of the uploaded PDFs and the ongoing chat history.