lowkey most rag tutorials are basically
useless just single queries against one index. that setup breaks immediately when you need to handle complex tasks like comparing specific vendor contract changes across different quarters. it requires multiple sub-queries and actual reasoning to synthesize everything correctly. microsoft foundry's approach w/ foundry iq seems to be the
real solution for production-grade logic instead of just simple retrieval.
>it actually handles the reasoning part of the workflow.the difference between a demo and a real product is how it handles missing infoanyone else seeing massive latency spikes when trying to implement this level of multi-step reasoning?
full read:
https://dzone.com/articles/production-semantic-search-gpt5-foundry