Why do standard RAG pipelines fail at scale, return garbage results, or suffer from context degradation?
I just published a case study how I push retrieval accuracy to the moon—while slashing LLM token costs by 70%.
Read the full blog.
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Opening X after a long break feels like a breeze.
Recently Shifted to MNC culture
Working for Nasdaq listed companies
Coming back here feels like a breeze, that people are still hussling here 🦍