Elasticsearch's vector database VS VectorDB

让我们通过对比Elasticsearch's vector database和VectorDB的优缺点,找出哪一款更适合您的需求。这份软件对比基于真实用户评测,比较了两款产品的价格、功能、支持服务、易用性和用户评价,帮助您在Elasticsearch's vector database和VectorDB中作出明智选择,选择最符合企业需求的那一款。

Elasticsearch's vector database

Elasticsearch's vector database
利用 BM25 文本搜索领域的领导者 Elasticsearch 的开源矢量数据库构建矢量搜索和混合搜索。免费试用 Elasticsearch 的矢量数据库....

VectorDB

VectorDB
VectorDB 是一款简单、轻量级、完全本地化的端到端解决方案,用于基于嵌入的文本检索。

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

VectorDB

Launched 2014-05
Pricing Model Free
Starting Price
Tech used Gzip,Nginx
Tag Semantic Search,Vector Database,Data Analysis

Elasticsearch's vector database Rank/Visit

Global Rank 29863
Country United States
Month Visit 1706536

Top 5 Countries

19.96%
8.53%
6.12%
4.67%
3.7%
United States China India Korea, Republic of United Kingdom

Traffic Sources

1.77%
0.82%
0.05%
7.31%
51.58%
38.46%
social paidReferrals mail referrals search direct

VectorDB Rank/Visit

Global Rank 2833766
Country United States
Month Visit 7523

Top 5 Countries

29.83%
29.54%
18.98%
13.23%
6.99%
United States India Indonesia Canada Japan

Traffic Sources

6.31%
1.13%
0.06%
5.55%
68.78%
18.17%
social paidReferrals mail referrals search direct

Estimated traffic data from Similarweb

What are some alternatives?

When comparing Elasticsearch's vector database and VectorDB, you can also consider the following products

Vector database for Relevance AI - 使用托管或自托管向量化数据,可让 LLMs 能够根据你的数据和上下文开展工作。

Vearch - Vearch:混合向量搜索数据库。融合相似度与标量过滤器,实现精准的 AI 搜索结果。轻松扩展,并提供 Python/Go SDK。

clientvectorsearch - 探索客户端向量搜索库:轻松嵌入、存储、搜索和缓存向量。通过高效的向量搜索功能增强您的应用程序。

Pgvecto.rs - PGVecto.rs 是一个 PostgreSQL 扩展,它支持可扩展的向量搜索,使您能够在 PostgreSQL 数据库之上构建强大的基于相似性的应用程序。

More Alternatives