Agentic RAG

Meta REFRAG Breakthrough: A Game-Changing Leap Delivering 30× Faster AI Context Processing

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Meta REFRAG (REpresentation For RAG) isn’t just another RAG tweak it’s a structural rethink that delivers up to 30.85× faster time-to-first-token (TTFT) while extending usable context by 16×, all without sacrificing accuracy, making long-context LLMs practical at scale for the first time. For teams fighting latency, KV cache bloat, or context truncation in production RAG, … Read more

Why Elysia Agentic RAG is a Game-Changing Breakthrough Developers Can’t Afford to Ignore

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The landscape of AI is constantly evolving, and for developers, staying ahead of the curve isn’t just an advantage it’s a necessity. We’ve all seen the transformative power of Large Language Models (LLMs), but their inherent limitations, like hallucination and reliance on static training data, have been persistent hurdles. Enter Retrieval-Augmented Generation (RAG), a brilliant … Read more