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"

• Sveltekit
• Chromadb
• OpenAI API

This project is explained in detail here:https://www.youtube.com/watch?v=rtX8oqolN8s (Spanish)