Tagged articles

k-NN

5 articles · Page 1 of 1

Sep 21, 2026 · Databases

Easysearch 2.4.0 Vector Search: Verified Guide to Indexing, Querying & Hybrid Search Pitfalls

This article provides a step-by-step verified guide to implementing vector search in Easysearch 2.4.0, covering index creation with dense_vector fields, data ingestion with embeddings, k-NN query pitfalls including the mandatory 'k' parameter, and the critical distinction between compound queries and RRF-based hybrid search for combining keyword and semantic search.

EasysearchHNSWRRF

0 likes · 10 min read

Easysearch 2.4.0 Vector Search: Verified Guide to Indexing, Querying & Hybrid Search Pitfalls

Mingyi World Elasticsearch

Sep 19, 2026 · Databases

Easysearch 2.4.0: Native Vector Search in Kernel, k-NN Plugin No Longer Needed

INFINI Easysearch 2.4.0 integrates HNSW vector search directly into the kernel, eliminating the need for a separate k-NN plugin, and adds hybrid keyword-vector queries with weighted scoring, while maintaining full compatibility with Elasticsearch 8.19.17 clients and APIs.

EasysearchElasticsearch compatibilityHNSW

0 likes · 5 min read

Easysearch 2.4.0: Native Vector Search in Kernel, k-NN Plugin No Longer Needed

Xiaolin Talks Programming

Aug 14, 2026 · Backend Development

Spring Boot + OpenSearch: Building Hybrid Search with Full-Text, Vector Recall & RRF Ranking

This guide walks through building a production-ready hybrid search system using Spring Boot and OpenSearch, covering mapping design for BM25 and k-NN vector search, synonym configuration, RRF-based score fusion, connection pool tuning, multi-tenant security with DLS/FLS, CDC data sync, and cluster operations including ISM lifecycle policies.

BM25CDCISM

0 likes · 18 min read

Spring Boot + OpenSearch: Building Hybrid Search with Full-Text, Vector Recall & RRF Ranking

dbaplus Community

Nov 27, 2023 · Artificial Intelligence

Build an Image‑Search Engine with Elasticsearch 8.x and CLIP

This guide explains how to implement reverse image search by extracting visual features with a multilingual CLIP model, storing the vectors in Elasticsearch 8.x, and using its k‑NN plugin to retrieve similar images, covering architecture, tools, code snippets, and results.

CLIPdeep learningimage search

0 likes · 9 min read

Build an Image‑Search Engine with Elasticsearch 8.x and CLIP

Taobao Frontend Technology

Dec 8, 2017 · Artificial Intelligence

Can JavaScript Power Handwritten Digit Recognition? Build a k‑NN Classifier from Scratch

This article walks you through using JavaScript to implement a simple k‑nearest neighbours classifier for the MNIST handwritten digit dataset, covering data representation, preparation, algorithm implementation, testing, performance analysis, and practical deployment considerations.

JavaScriptMNISThandwritten digit recognition

0 likes · 14 min read

Can JavaScript Power Handwritten Digit Recognition? Build a k‑NN Classifier from Scratch