Title: How to Automatically Generate Embedding for Updated Documents in a Confluence Space and Enable Real-Time Question Answering on the Updated Data?
Body: I'm currently working on accessing a Confluence space using Lang chain and performing question answering on its data. The embedding of this data are stored in a Chromadb vector database once I provide user name,API key and Space key.
However, I'm looking for a way to automatically generate embedding for any documents that change in real-time within the Confluence space and enable real-time question answering on the updated data. Any suggestions or solutions on how to achieve this would be greatly appreciated!