Image created with gemini-2.5-flash-image with claude-sonnet-4-5. Image prompt: Minimalist luxury library with floor-to-ceiling bookshelves filled with leather-bound volumes, single empty marble reading table in center, cold moonlight through tall windows, dramatic shadows, architectural photography, pristine and untouched, white text overlay reading RAG in bold sans-serif
A must-read → Deep Research: A Systematic Survey Covers: – A 3-stage roadmap for deep research systems – Deep research vs. RAG – Key components: query planning, information acquisition, memory management, answer generation – Optimization: prompting, supervised fine-tuning, https://x.com/TheTuringPost/status/1994793698002178410
Most of the model’s computations over the RAG context aren’t needed. @AIatMeta introduced REFRAG, a decoding approach that: – Compresses the long context – Identifies which parts actually matter – Expands them when needed It gives up to 30.85× faster time-to-first-token and https://x.com/TheTuringPost/status/1994177724316045796
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