/plushcap/analysis/zilliz/zilliz-elasticsearch-vs-vald-a-comprehensive-vector-database-comparison

Elasticsearch vs Vald Selecting the Right Database for GenAI Applications

What's this blog post about?

Elasticsearch and Vald are two prominent databases with vector search capabilities that play a crucial role in AI applications such as recommendation engines, image retrieval, and semantic search. While Elasticsearch is an open-source search engine built on Apache Lucene with vector search as an add-on, Vald is a purpose-built vector database. The choice between the two depends on specific requirements, with Elasticsearch being best for combined search needs and Vald being suitable for pure vector search at scale.

Company
Zilliz

Date published
Nov. 23, 2024

Author(s)
Chloe Williams

Word count
1869

Language
English

Hacker News points
None found.


By Matt Makai. 2021-2024.