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FalconSeek

3 articles · Page 1 of 1

Sep 24, 2026 · Artificial Intelligence

Alibaba Cloud Agentic Search: From Finding Answers to Completing Tasks

At the 2026 Yunqi Conference, Alibaba Cloud unveiled Agentic Search 2.0, a new AI search paradigm that evolves from answer generation to autonomous task execution via planning, tool use, and self-evolving memory, backed by a re-architected Elasticsearch engine delivering 60ms hot-query latency and 70% cost savings at hundred-billion-vector scale.

AI SearchAgentic SearchElasticsearch

0 likes · 13 min read

Alibaba Cloud Agentic Search: From Finding Answers to Completing Tasks

Alibaba Cloud Big Data AI Platform

Aug 26, 2026 · Artificial Intelligence

How Alibaba Cloud Elasticsearch’s Cloud‑Native Vector Engine Tops VectorDBBench

Alibaba Cloud Elasticsearch on ES 9.4, using the FalconSeek HNSW engine, achieves 82,520 QPS at 0.98 recall with a 1.8 ms P99 latency in VectorDBBench, and the article explains the end‑to‑end architectural redesign—including quantized candidate recall, batch distance computation, hot‑data layout, on‑demand re‑ranking, and segment lifecycle integration—that makes these results possible.

AI SearchElasticsearchFalconSeek

0 likes · 17 min read

How Alibaba Cloud Elasticsearch’s Cloud‑Native Vector Engine Tops VectorDBBench

Alibaba Cloud Big Data AI Platform

Apr 30, 2026 · Artificial Intelligence

Reinventing Search: Alibaba Cloud Elasticsearch Introduces Agent‑Native AI Memory Lake

Facing a projected 175ZB of global data by 2025 and 80% unstructured content, Alibaba Cloud Elasticsearch re‑architects its engine to deliver Agent‑native search, offering structured JSON/Markdown results, high‑performance vector indexing, and a unified enterprise knowledge lake for AI agents.

AI SearchAgentCloud AI

0 likes · 9 min read