Elasticsearch vs Vald Selecting the Right Database for GenAI Applications
Blog post from Zilliz
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.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Vector Search | 41 | 2,767 | 278 | 102 | -41% |
| Real-time | 3 | 3,579 | 860 | 226 | -21% |
| RAG | 2 | 1,943 | 207 | 76 | -13% |
| LLM | 1 | 3,362 | 423 | 155 | -16% |
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