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DiskANN

6 articles · Page 1 of 1
ByteDance SE Lab
ByteDance SE Lab
Jul 8, 2026 · Databases

Volcano Milvus Hits Nearly 3× VectorDBBench Leader in Retrieval Speed

Under a fixed monthly budget of about 7,100 CNY, Volcano Milvus combines DiskANN and RaBitQ (including Extended‑RaBitQ) with in‑memory layout and query‑path slimming to deliver 20,420 QPS, 2.5 ms average latency, 93.9 % recall, achieving nearly three times the VectorDBBench top score while using roughly one‑third of the memory, disk and compute resources of competing solutions.

DiskANNMilvusPerformance Benchmark
0 likes · 12 min read
Volcano Milvus Hits Nearly 3× VectorDBBench Leader in Retrieval Speed
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
May 29, 2026 · Artificial Intelligence

How Alibaba Cloud Milvus Achieves 20× Faster Billion‑Scale Vector Search with DiskANN and RaBitQ

Alibaba Cloud Milvus combines DiskANN graph indexing with the RaBitQ quantization algorithm, delivering over 20× higher QPS, sub‑10% P99 latency, 29% lower memory usage and more than 98% recall on a 100 million‑vector, 768‑dimensional benchmark, while also cutting index build time from 20 h to about 6 h.

DiskANNMilvusPerformance
0 likes · 7 min read
How Alibaba Cloud Milvus Achieves 20× Faster Billion‑Scale Vector Search with DiskANN and RaBitQ
DataFunSummit
DataFunSummit
May 26, 2026 · Artificial Intelligence

Building an Evolvable Context Layer for Agents with ContextSearch

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.

Agentic AIContextSearchDiskANN
0 likes · 14 min read
Building an Evolvable Context Layer for Agents with ContextSearch
AI2ML AI to Machine Learning
AI2ML AI to Machine Learning
Feb 27, 2026 · Artificial Intelligence

Why No Single Algorithm Dominates Vector Search: A Deep Dive into Modern Vector DBs

The article surveys emerging vector databases, explains how various vector‑search algorithms such as FLAT, IVF, HNSW, DiskANN and ScaNN differ in accuracy, speed, memory use and build time, and provides practical guidance for choosing the right index based on data size, latency and resource constraints.

Approximate Nearest NeighborDiskANNHNSW
0 likes · 9 min read
Why No Single Algorithm Dominates Vector Search: A Deep Dive into Modern Vector DBs
Volcano Engine Developer Services
Volcano Engine Developer Services
Aug 20, 2024 · Databases

How Vector Databases Power RAG: Scaling, Algorithms, and Real‑World Trade‑offs

RAG technology leverages vector databases to provide context‑aware answers without updating model parameters, and this article explores how cloud search teams integrate multiple vector algorithms, balance cost, stability and latency, and adopt open‑source solutions like OpenSearch to build scalable, enterprise‑grade retrieval systems.

AIDiskANNOpenSearch
0 likes · 21 min read
How Vector Databases Power RAG: Scaling, Algorithms, and Real‑World Trade‑offs