[efecnc]

Simulating a user that actually sounds real is definitely the hardest part of this. Curious how you're handling the chunking and retrieval under the hood here.

Does the 'user' agent get fed a specific chunk of text to formulate its questions, and does the 'assistant' agent get that exact same chunk to reply? If they're both looking at the identical text, have you thought about injecting some noise or unrelated distractor chunks into the assistant's context? Might be a solid way to make the resulting SFT data more robust against hallucinations.

[monatis]

Yeah this is one possible way to generate grounded an"responses" in Afterimage. To accomplish context augmentation when generating a response, it allows to use different RAG strategies where retriever may be chosen for the specific use case at hand. This is where composability comes into play.