Sharing Model Provoders Among Teams

[mseigal]

Hello. I don't know if it is expected behaviour or not. We are exploring RAGflow on a UK based Azure server deployed as Docker Linux VM as part of our enterprise plan to build customer AI powered knowledge bases and have noticed the following:

• Users added to teams need to refresh cache to be able to see knowledge base
• Model providers and chats do not get shared when users are added to a team so they have to build this or recreate these items.
• When you login to a different browser or instance you can only have one user logged in at a time. Other instances are logged off.
• You can see the files but not copy or repurpose them between knowledge base files.

TLDR: Ragflow is very impressive as a single user low code RAG solution that is very flexible and extensible. The api documentation is very complete and easy to use even for non coders, which I am. I was able to create bulk testing Python scripts to parse a csv with hundreds of questions to ask a chatbot and then to record the responses for later review.

My current difficulty is getting it to work with multiple users. I see there have been a couple of other posts and I would be interested in how others have worked around this. Are you forced to use other UI frameworks such as streamlit to make it useable within a team?