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....
Vector database for Relevance AI
Elasticsearch's vector database
| Launched | 2010-7 |
| Pricing Model | Freemium |
| Starting Price | |
| Tech used | |
| Tag | Vector Database |
Vector database for Relevance AI
| Launched | 2018-04-30 |
| Pricing Model | Free Trial |
| Starting Price | |
| Tech used | Google Analytics,Google Tag Manager,HubSpot Analytics,Webflow,Amazon AWS CloudFront,Cloudflare CDN,Google Fonts,jQuery,Gzip,HTTP/3,OpenGraph |
| Tag | Vector Database |
Elasticsearch's vector database Rank/Visit
| Global Rank | 27967 |
| Country | United States |
| Month Visit | 2177898 |
Top 5 Countries
14.97%
14.16%
7.4%
4.26%
3.85%
United States
China
India
France
Korea, Republic of
Traffic Sources
55.79%
36.27%
5.39%
1.94%
0.5%
0.11%
Search
Direct
Referrals
Social
Mail
Paid Referrals
Vector database for Relevance AI Rank/Visit
| Global Rank | 264023 |
| Country | United States |
| Month Visit | 150799 |
Top 5 Countries
24.38%
11.74%
9.59%
5.78%
5.25%
United States
Germany
Australia
United Kingdom
France
Traffic Sources
59.32%
28.64%
9.28%
1.41%
1.35%
Direct
Search
Social
Referrals
Mail
What are some alternatives?
When comparing Elasticsearch's vector database and Vector database for Relevance AI, you can also consider the following products
Supabase Vector - 使用 Supabase Vector 构建强大的人工智能应用程序。利用 Postgres 和 Supabase 的 AI 工具包存储、查询和索引向量嵌入。
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。
SvectorDB - 使用 SvectorDB，您可以在不到 120 秒的时间内设置一个无服务器向量数据库，非常适合 RAG 聊天机器人、文档搜索和推荐。
Milvus - 发现 Milvus，备受欢迎的企业级向量数据库。轻松存储、索引和管理大规模嵌入向量。借助 Milvus 的高级 SDK 和索引算法，提升检索速度并创建相似性搜索服务。非常适用于机器学习部署和管理大规模向量数据集。