Machine Learning

1 readers

1 users here now

Community Rules:

Be nice. No offensive behavior, insults or attacks: we encourage a diverse community in which members feel safe and have a voice.
Make your post clear and comprehensive: posts that lack insight or effort will be removed. (ex: questions which are easily googled)
Beginner or career related questions go elsewhere. This community is focused in discussion of research and new projects that advance the state-of-the-art.
Limit self-promotion. Comments and posts should be first and foremost about topics of interest to ML observers and practitioners. Limited self-promotion is tolerated, but the sub is not here as merely a source for free advertisement. Such posts will be removed at the discretion of the mods.

founded 11 months ago

MODERATORS

communick@academy.garden

[D] Multiple documents reveal significant limitations of OpenAI's Assistants API for RAG (alien.top)

submitted 10 months ago by ian4321@alien.top to c/machinelearning@academy.garden

6 comments fedilink hide all child comments

The OpenAI RAG system struggled with multiple documents, showing inconsistent performance with our evaluation framework. However, performance improved markedly when all documents were uploaded as a single document. Despite current limitations, such as a 20-file limit per assistant and challenges in handling multiple documents, there is significant potential for improvement. Enhancing the Assistants API to match GPT quality and reducing restrictions could make it a leading RAG solution.

https://www.tonic.ai/blog/rag-evaluation-series-validating-openai-assistants-rag-performance

you are viewing a single comment's thread
view the rest of the comments

[–] Text-Agitated@alien.top 1 points 10 months ago

Its weird for me. I fried my brain since they released it on this matter and so far, whenever I want it to process, I explicitly tell it to try opening the files no matter what.

I believe there is an issue in their "os" or file management system when you're uploading files. I believe uploading the files (so not using the file ids) fixes it. Accessing these files via file ids generated at a much earlier time is not as effective as uploading the same file although its the exact same file.

I don't know as it's kind of a black box right now. It might be something else and what I'm getting might be coincidental.

Very varied responses here, so we need deterministic responses (seeds) for assistants too, which I think will be available one day.

If you're struggling, add a feedback loop and have 2 agents, one will be your agent, the other will be quality control. I think then you can generate a json response to see if the quality checker approved the output of the main agent. Works for me although conversations are sometimes very long (not always, 10% of the time) but they do figure it out eventually.