I am trying to implement RAG with the GPT-3.5 api. However, my code execution gets stuck while trying to create the retriever. I didn’t get this issue on Google Colab but I started getting this issue once I shifted my codebase to my local environment.

I would like to be able to add and remove documents from chromadb using langchain without creating a new vectorstore every time. I understand that you can do this by referencing document ids, but how do you do this when splitting documents into chunks? Do you need ids for each individual chunk?