Reimagining Enterprise RAG for Multi-Agent Systems: A Knowledge Layer That Organizes Before It Retrieves

23 Oct 2026Reported by arXiv21

Reimagining Enterprise RAG for Multi-Agent Systems: A Knowledge Layer That Organizes Before It Retrieves. The story centres on RAG. Reported by arXiv. Bharat Hunt files it under Enterprise AI and AI Agents — the section covering deployment inside businesses — platforms, adoption, cost, integration.

Written by Bharat Hunt from the headline and the coverage below. The original reporting is the source of truth.

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Reported by arXiv

First seen 23 oct 2026

arXivReimagining Enterprise RAG for Multi-Agent Systems: A Knowledge Layer That Organizes Before It Retrieves23 Oct 2026Garima Agrawal

AI Hardware24

SANTA++: Sampling Attention through Representative Keys

SANTA++: Sampling Attention through Representative Keys. It centres on RAG, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Hardware — the section covering chips, accelerators, data centres, on-device inference and supply. Open the original report for the full detail.

arXiv28 Sept 2026

AI Research23

RAG-PIBench: A Leakage-Aware Benchmark for Prompt-Injection Detection in Trustworthy RAG Systems

RAG-PIBench: A Leakage-Aware Benchmark for Prompt-Injection Detection in Trustworthy RAG Systems. It centres on RAG, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.

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Reimagining Enterprise RAG for Multi-Agent Systems: A Knowledge Layer That Organizes Before It Retrieves

Companies, models and people in this story

Reported by arXiv

SANTA++: Sampling Attention through Representative Keys

RAG-PIBench: A Leakage-Aware Benchmark for Prompt-Injection Detection in Trustworthy RAG Systems

UNREAL: Unifying Retrieval and Long-Context with a Single Model

Agentic AutoRAG: RAG Pipeline Optimization through Reasoning-Driven Agents

Companies, models and people in this story

Reported by arXiv

Related AI coverage

SANTA++: Sampling Attention through Representative Keys

RAG-PIBench: A Leakage-Aware Benchmark for Prompt-Injection Detection in Trustworthy RAG Systems

UNREAL: Unifying Retrieval and Long-Context with a Single Model

Agentic AutoRAG: RAG Pipeline Optimization through Reasoning-Driven Agents