[cyclecycle]

That's basically what we're doing with app.studyrecon.ai.

What we've found is that vector similarity is often not the final solution. It is still only a crude proxy for the true goal of 'informativeness' or 'usefulness' with relation to the user goal/query. Works okay, but we're definitely seeing a need for more rigorous LLM-postprocessing to enrich the results set.

Which, yes, the time adds up quick!