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[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

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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

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[–] phira@alien.top 1 points 10 months ago

I’ve had an equivalent of this in a local test service for a while now and one thing I observed was it was really important to give the calling LLM information about when a given document was going to be useful. The usefulness of multiple documents skyrocketed when they were well named and I supplied a one-line description of the content in the main prompt.