Chat with your Docs and gain better insights. Powered by LlamaIndex and Streamlit is used for UI. Handles CSV/PDFs/Txt/Doc. CSV file is catered via PandasAI loader and rest of the docs are handled via GPTVectorStoreIndex.

Clone the repo or copy the .py file in your local machine.

pip install -r requirements.txt

streamlit run chat_with_docs.py

Feel free to open any Issue or PR request. This small application can help anyone to interact with their docs more smartly in just 2-3 steps.

• Add support for choosing in between GPT-3/GPT-3.5/GPT-4 or HuggingFace model for creating vectors and generating rich responses.
• Blog explaining the entire application in detail.
• Add Docker support.
• Deploy the project online, You can find it here: Chat with Docs.
• Add support to handle multiple files at once.

• Upload a CSV file. Get better insights by just asking question, Render graphs based on the Data

• In Doc section, Upload PDFs/Txt/Docs to chat with your docs directly. No need to press CTRL+F to search for anything in the Docs