Mixedbread AI on Teaching Agents Better Retrieval

How AI agents are evolving RAG systems from keyword search to iterative, reasoning-based search experiences

The article discusses how AI agents are transforming traditional RAG (Retrieval-Augmented Generation) systems by moving beyond simple keywor

Rethinking Search: From Query-Answer Services to Programmable Primitives for AI Agents

The article argues that traditional search pipelines are becoming outdated for AI agent systems. It proposes rethinking search as a programm

Search-Augmented Agents Cut Token Usage by 36% and Outperform Raw File Processing

This article explores the inefficiency of giving AI agents raw files (like research papers) to process, comparing it to a raccoon rummaging

A Journey from AI to LLMs and MCP - 4 - What Are AI Agents – And Why They're the Future of LLM Applications

LiveBrowseComp reveals LLM search agents rely on memorized knowledge, not genuine web searching

This paper introduces the concept of Intrinsic Knowledge Dependence (IKD), showing that LLM-based search agents often rely on pre-trained kn

How OpenClaw and AI agent harnesses are reshaping LLMs, inference, and CPU demand

The article discusses how AI agent harnesses like OpenClaw are transforming the LLM landscape by enabling models to automate complex tasks b