Tagged articles

Sparse Vector

3 articles · Page 1 of 1

Jul 11, 2026 · Artificial Intelligence

Migrating Elasticsearch Vectors to Easysearch: Why Changing Only the Field Name Isn’t Enough

The article explains that while dense vector data can be moved from Elasticsearch to Easysearch, the field types, indexing algorithms, query DSL, and filter semantics differ, requiring careful mapping changes, query rewrites, and thorough validation to avoid mismatched results.

EasysearchElasticsearchKNN

0 likes · 11 min read

Migrating Elasticsearch Vectors to Easysearch: Why Changing Only the Field Name Isn’t Enough

AntData

Jul 8, 2026 · Databases

Deep Dive into SINDI: High‑Performance Sparse Vector Search Index for VSAG

The article explains SINDI, a sparse‑vector retrieval index designed for VSAG, detailing its window‑based weighted inverted lists, multi‑layer pruning, quantization and reranking techniques that achieve dramatically faster index construction, smaller index size, and high query throughput compared with traditional inverted or graph indexes.

Maximum Inner Product SearchPruningSparse Vector

0 likes · 21 min read

Deep Dive into SINDI: High‑Performance Sparse Vector Search Index for VSAG

Mingyi World Elasticsearch

Jul 3, 2025 · Backend Development

Deep Dive into Elasticsearch semantic_text, dense_vector, and sparse_vector

This article explains how Elasticsearch supports vector search through three field types—semantic_text, dense_vector, and sparse_vector—detailing their definitions, ideal use cases, query syntax, advantages, limitations, and guidance for selecting the right type in real‑world search applications.

ElasticsearchEmbeddingKNN

0 likes · 14 min read

Deep Dive into Elasticsearch semantic_text, dense_vector, and sparse_vector