Ask questions to your markdown documents:
- Upload your markdown documents
- They are converted to embeddings using Chromadb
- You ask a question
- Your question is converted to embedding and the app gets the more similar documents from the vector database
- The app asks OpenAI API to answer the original question, providing the retrieved documents.
- You have your answer!
Create a .env file with your OpenAI Api key, and the url of your python server, and put it inside webapp folder.
Your file should look like this:
SECRET_OPENAI_API_KEY="sk-XXXX"
PUBLIC_PROCESS_FILES_SERVER="http://127.0.0.1:5000"
This project is explained in detail here:https://www.youtube.com/watch?v=rtX8oqolN8s (Spanish)