The article analyzes Microsoft’s AgenticRAG, a tool‑based RAG framework that lets LLMs control retrieval, showing up to a 5.9× recall improvement over standard methods, reduced need for fine‑tuning, and practical design insights from pre‑production deployment.
The article explains how ContextSearch transforms enterprise search from simple document retrieval into an Agentic, multi‑source, runtime‑driven context layer that can understand constraints, gather evidence, verify results, and continuously evolve through trace‑backed optimization.
The article examines Glean’s evolution from an enterprise‑search startup to a comprehensive Work AI Platform, detailing its market growth, competitive positioning, technical architecture—including data connectors, knowledge graphs, custom models, and agent reasoning—and the strategic challenges it must overcome to sustain its lead.
Easysearch, developed by INFINI Labs as a domestically‑optimized replacement for Elasticsearch 7.10.2, offers high compatibility, enhanced Chinese processing, reduced disk usage, built‑in security, and compliance with Chinese trust‑platform standards, making it a cost‑effective, low‑risk solution for tender‑stage search and analytics.
The article introduces Deep Searcher, an open‑source Agentic Retrieval‑Augmented Generation system that combines large language models, Milvus vector databases, and multi‑step reasoning to deliver enterprise‑grade search, reporting, and complex query capabilities, and compares its performance against traditional RAG and Graph RAG approaches.
This article explains how Alibaba's enterprise search system tackles query intent recognition by combining knowledge‑enhanced techniques, short‑text classification, and pretrained language models such as StructBERT and prompt‑learning, and it shares two real‑world case studies, experimental results, and future research directions.
This article explores Youzan's enterprise search middle platform, detailing the challenges of siloed architectures, the concept of cognitive folding, comprehensive index design, write/read mechanisms, configuration-driven routing, monitoring, and practical implementations that enable scalable, reusable search capabilities across diverse business domains.
