Open mairin opened 5 months ago
Notes for 6 Feb program call:
Concept of an embedding model is unique to RAG patterns, may have implications on AI Studio UI.
RAG pattern:
Erik has a deck for vector dbs, can share:
https://docs.google.com/presentation/d/1FkprZvdfkYiBjmWW5xDgOPc29XymVIIMzuzU0ipaA-A/edit#slide=id.p
Embedding model is the indexing thing... ask question in chat with model. For RAG - that question gets run through this embedding model, puts it into the embedding space.... when you index all your docs, you run them through that same model. It'sl ike a database, the index part is embedding vectors. Instead of doing exact lookup on a key, it's looking for documents with vectors closest to the thing.
@mairin is there any draft mockup i can start looking at? I was updating the catalog but i need to work on this before adding the rag recipe
Hi Luca, nothing yet :-( I spoke to Jeff about this yesterday. After I get the extensions mocks done today its next on my list. ~m
@nichjones1 @mairin @lstocchi shall we reassign the issue? Do we have mock ups?
@vrothberg I've added Emma as an assignee. We will discuss at our next checkin
I had a look in Penpot for mock-ups for this, and I found this board: https://design.penpot.app/#/workspace/76981dd7-ec3b-802f-8001-9a56ef3fbc9d/52961d58-0a92-80c2-8003-2a6919ad37d6?page-id=e6a8dc76-7670-80e5-8003-ccc1d3d7666d
Are these the right screens?
I do not know, but @mairin @nichjones1 or @slemeur may know.
If this board is about RAG applications, the mock ups are about image generation which is a different topic.
Ok. What is the user flow to get to this page? I'm not familiar with RAG applications and the layout, so I'll have to do some research beforehand.
UI for users to connect to vector db of their data for RAG usage of model