This repository contains a Slack-based chat bot for QA (Question Answering) from a PDF document. The bot allows users to ask questions related to a PDF document uploaded to a Slack channel and provides answers based on the content of the document.

• Slack Setup: Follow the instructions provided in this YouTube tutorial for setting up Slack integration. Ensure that the "OAuth & Permissions>>Scopes>>Bot Token Scopes" has files.write and files.read access scopes.
• Slack BOT & APP Key: Obtain BOT & APP Key from "https://api.slack.com/apps/" for your app.
• OpenAI API Key: Obtain an API key from OpenAI.
• Python: Ensure Python is installed on your system.
• Installation: Install the required Python packages by running pip install -r requirements.txt.
• Update Credentials: Update the creds.env file with the token generated during Slack setup.

1. Setup Slack: Follow the instructions in the provided YouTube tutorial to set up Slack integration. Ensure the bot token has appropriate permissions.
2. Start the App: Run python app.py command to start the application.
3. Ask Questions: Once the app is running, use the Slack app to ask questions related to the PDF documents.

• Provide PDF documents containing the information relevant to the expected questions.
• Questions should be separated by new lines within the Slack chat interface.

• Chunk Size: The provided chunk size for processing PDF documents might not always find the most similar content for answering questions. Further fine-tuning of the embedding and chunking techniques may be necessary for improved accuracy.
• Time: the time is proportional to document size as the indexing, embedding and chatgpt call happens for every request.

The complete usage of the app is shown in below video Demo Video

• This README provides basic setup and usage instructions.
• For any issues or improvements, feel free to open an issue or submit a pull request.

This project is provided as-is without any warranties. Users are responsible for ensuring compliance with Slack API usage policies and any other relevant terms of service.