Run a vector-ready OpenSearch node with k-NN capabilities for semantic search, hybrid ranking, RAG, and embedding-backed applications.
Best for: Teams combining enterprise search features with vector similarity.
What OpenSearch Vector gives you
- k-NN vector indexing
- Hybrid keyword and semantic search
- OpenSearch query and analytics APIs
Popular ways to use it
- Build hybrid RAG retrieval
- Add semantic search to an index
- Combine filters with vector similarity
Choose resources for your workload
Vector indexes are memory intensive; choose generous RAM, vCPU, and fast disk.
Every ARPHost AI application VPS includes one public IP address, configurable vCPU, memory and NVMe storage, and deployment in Tampa, Florida. You select the final resources during checkout.