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vector search

209 articles · Page 3 of 3
Alibaba Cloud Developer
Alibaba Cloud Developer
Mar 4, 2021 · Artificial Intelligence

How Alibaba’s Proxima Engine Revolutionizes Vector Search for AI Applications

Alibaba’s Damo Academy unveils Proxima, a high‑performance vector search engine that powers e‑commerce, video, and payment services, detailing its core capabilities, large‑scale indexing, distributed construction, real‑time updates, and challenges such as algorithm diversity, scalability, and multi‑modal retrieval.

AIAlibaba Proximalarge-scale indexing
0 likes · 17 min read
How Alibaba’s Proxima Engine Revolutionizes Vector Search for AI Applications
58 Tech
58 Tech
Mar 3, 2021 · Artificial Intelligence

Design and Implementation of a Faiss‑Based Vector Search Platform

The article describes the design, architecture, and key components of a vector search platform built on Faiss that supports full‑index construction, incremental and distributed indexing, online retrieval, city‑level search, and vector update/delete operations to meet large‑scale AI application needs.

AIdistributed indexingkubernetes
0 likes · 10 min read
Design and Implementation of a Faiss‑Based Vector Search Platform
System Architect Go
System Architect Go
Jun 4, 2020 · Artificial Intelligence

Evolution and Underlying Principles of the Billion‑Scale Image Search System at Youpai Image Manager

This article describes the two‑generation evolution of Youpai Image Manager's billion‑scale image search system, explaining the mathematical representation of images, the limitations of MD5, the first‑generation pHash‑ElasticSearch solution, and the second‑generation CNN‑Milvus approach for robust, large‑scale visual similarity search.

CNNMilvusimage search
0 likes · 9 min read
Evolution and Underlying Principles of the Billion‑Scale Image Search System at Youpai Image Manager
System Architect Go
System Architect Go
Mar 30, 2020 · Artificial Intelligence

Overview of Image Search System

This article explains the fundamentals of building an image‑by‑image search system, covering image feature extraction methods such as hashing, traditional descriptors, CNN‑based vectors, and the use of vector search engines like Milvus for similarity retrieval.

CNNMilvusfeature extraction
0 likes · 6 min read
Overview of Image Search System
DataFunTalk
DataFunTalk
Oct 24, 2019 · Artificial Intelligence

Evolution and Engineering Practices of the 360 Display Advertising Recall System

This article details the 360 display advertising system's architecture and the progressive evolution of its recall module, covering business overview, overall pipeline, various recall strategies—including Boolean, vectorized, and deep‑tree approaches—and the performance optimizations applied to meet real‑time constraints.

Advertisingdeep learningrecall system
0 likes · 14 min read
Evolution and Engineering Practices of the 360 Display Advertising Recall System
360 Quality & Efficiency
360 Quality & Efficiency
Aug 23, 2019 · Artificial Intelligence

High‑Performance High‑Dimensional Vector KNN Search Using FAISS

This article introduces the background of vector representations in machine learning, explains the K‑Nearest Neighbors algorithm and its key parameters, reviews traditional tree‑based and modern high‑performance search solutions, and demonstrates how FAISS can achieve microsecond‑level KNN queries on large‑scale high‑dimensional data.

FAISShigh-dimensionalkNN
0 likes · 5 min read
High‑Performance High‑Dimensional Vector KNN Search Using FAISS
vivo Internet Technology
vivo Internet Technology
Nov 16, 2018 · Artificial Intelligence

Efficient Vector Search with Deep Learning Embeddings in Elasticsearch

The article explains how to replace keyword matching with deep‑learning document embeddings in Elasticsearch by applying PCA dimensionality reduction, indexing vectors using Lucene’s KD‑tree structures via a custom plugin, and leveraging FAISS‑style nearest‑neighbour techniques to achieve fast, semantically aware similarity search.

ElasticsearchFAISSKD-Tree
0 likes · 7 min read
Efficient Vector Search with Deep Learning Embeddings in Elasticsearch
Xianyu Technology
Xianyu Technology
Aug 31, 2018 · Artificial Intelligence

Personalized Recommendation for Xianyu Small Item Pools: Challenges and Solutions

Xianyu’s personalized recommendation system struggles with tiny, fast‑turnover item pools because traditional X2I matrices provide insufficient recall, so the team introduced pool‑specific pre‑filtering, high‑dimensional vector search, and a real‑time search‑engine recall, the latter boosting clicks by 14 % and transactions by 0.14 %.

Xianyuengineeringpersonalization
0 likes · 15 min read
Personalized Recommendation for Xianyu Small Item Pools: Challenges and Solutions