Elasticsearch's vector database
Vearch
Elasticsearch's vector database
| Launched | 2010-7 |
| Pricing Model | Freemium |
| Starting Price | |
| Tech used | Google Analytics,Google Tag Manager,Optimizely,Google Fonts,Next.js,Emotion,Gzip,JSON Schema,OpenGraph,Progressive Web App,Varnish,Webpack,HSTS |
| Tag | Vector Database,Data Analysis |
Vearch
| Launched | |
| Pricing Model | Free |
| Starting Price | |
| Tech used | |
| Tag | Data Science,Semantic Search,Vector Database |
Elasticsearch's vector database Rank/Visit
| Global Rank | 29863 |
| Country | United States |
| Month Visit | 1706536 |
Top 5 Countries
Traffic Sources
Vearch Rank/Visit
| Global Rank | |
| Country | |
| Month Visit |
Top 5 Countries
Traffic Sources
Estimated traffic data from Similarweb
What are some alternatives?
Vector database for Relevance AI - Use managed or self-hosted vector databases to give LLMs the ability to work on YOUR data & context.
VectorDB - VectorDB is a simple, lightweight, fully local, end-to-end solution for using embeddings-based text retrieval.
clientvectorsearch - Discover the client-vector-search library: embed, store, search, and cache vectors effortlessly. Enhance your applications with efficient vector search capabilities.
Pgvecto.rs - PGVecto.rs is a Postgres extension that enables scalable vector search, allowing you to build powerful similarity-based applications on top of your Postgres database.