This project builds a Q&A system that uses the power of Google Palm and LangChain ⛓️ to provide instant answers to your questions . It aims to reduce the need for manual responses by leveraging a pre-built knowledge base of FAQs . The system boasts a user-friendly interface built with Streamlit, making it easy for anyone to interact and get quick answers .
Here's what it offers:
- FAQ-Based Knowledge Base: Loads and processes real FAQs from a handy CSV file .
- Vector Database: Utilizes FAISS (super-fast retrieval!) and Huggingface embeddings for efficient data retrieval .
- Streamlit Interface: A clean and simple UI for easy interaction. Just type your question and get instant answers! ⌨️➡️
- Google Palm LLM: Leverages Google's powerful language model to generate accurate and informative answers .
How to Use It:
- Clone the repository and install dependencies with
pip install -r requirements.txt. - Add your Google API key to the
.envfile (it's like a secret handshake ). - Run the app with
streamlit run main.py🪄. - Click "Create Knowledgebase" to build your super-powered vector database ⚡.
- Type your questions in the app and get instant answers! That's it!
Project Structure:
main.py: The main script that runs the Streamlit application.langchain_helper.py: Handles LangChain logic and manages the vector database.requirements.txt: Lists all the Python dependencies needed.
Learn From and Credits:
This project is inspired by and credits go to the awesome Codebasics YouTube channel . Check out their content to learn more about cool projects like this one!