OpenSearch
Community-driven fork of Elasticsearch with vector search
About OpenSearch
OpenSearch is an open-source search and analytics engine originally derived from Elasticsearch. It provides vector search capabilities alongside full-text search and analytics features. OpenSearch enables developers to build scalable AI search systems and semantic retrieval applications. Its open-source nature and strong community support make it a popular choice for organizations seeking flexible and cost-effective search infrastructure.
Key features
Pricing
Common use cases
Common questions about OpenSearch
How do I add vector search to OpenSearch?
OpenSearch includes vector search capabilities through extensions or built-in features. Check the official documentation for installation and configuration instructions.
Should I use OpenSearch for vector search?
If you're already using OpenSearch, adding vector search can be simpler than introducing a new database. However, dedicated vector databases may offer better performance and features at scale.
What are the main use cases for OpenSearch?
OpenSearch is commonly used for log & event analytics, enterprise search, security monitoring, and similar applications requiring semantic similarity search.
Does OpenSearch integrate with popular AI tools?
Most vector databases integrate with LangChain, LlamaIndex, and popular embedding providers. Check the OpenSearch documentation for specific integration guides and examples.
Comparisons featuring OpenSearch
Not sure if OpenSearch is right for you?
Compare it side-by-side with other vector databases to find the best fit for your project.