Codebasics Q&A: Question and Answer System Based on Google Palm LLM and Langchain for E-learning company
This is an end to end LLM project based on Google Palm and Langchain. We are building a Q&A system for an e-learning company called codebasics (website: codebasics.io). Codebasics sells data related courses and bootcamps. They have thousands of learners who uses discord server or email to ask questions. This system will provide a streamlit based user interface for students where they can ask questions and get answers.
- Use a real CSV file of FAQs that Codebasics company is using right now.
- Their human staff will use this file to assist their course learners.
- We will build an LLM based question and answer system that can reduce the workload of their human staff.
- Students should be able to use this system to ask questions directly and get answers within seconds
- Langchain + Google Palm: LLM based Q&A
- Streamlit: UI
- Huggingface instructor embeddings: Text embeddings
- FAISS: Vector databse
1.Clone this repository to your local machine using:
git clone https://github.com/Salman-Khan-Mohammed/Q-A-System-.git
2.Navigate to the project directory:
cd 3_project_codebasics_q_and_a
- Install the required dependencies using pip:
pip install -r requirements.txt
4.Acquire an api key through makersuite.google.com and put it in .env file
GOOGLE_API_KEY="your_api_key_here"
- Run the Streamlit app by executing:
streamlit run main.py
2.The web app will open in your browser.
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To create a knowledebase of FAQs, click on Create Knolwedge Base button. It will take some time before knowledgebase is created so please wait.
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Once knowledge base is created you will see a directory called faiss_index in your current folder
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Now you are ready to ask questions. Type your question in Question box and hit Enter
- Do you guys provide internship and also do you offer EMI payments?
- Do you have javascript course?
- Should I learn power bi or tableau?
- I've a MAC computer. Can I use powerbi on it?
- I don't see power pivot. how can I enable it?
- Streamlit_code.py: The main Streamlit application script.
- Main_code.py: This has all the langchain code
- requirements.txt: A list of required Python packages for the project.
- .env: Configuration file for storing your Google API key.