Run a dedicated Chroma vector database for semantic search, retrieval-augmented generation, and application memory using a straightforward developer API.
Best for: Developers building RAG prototypes, semantic search, and AI memory.
What Chroma gives you
- Embedding storage and retrieval
- Metadata filtering
- Developer-friendly vector API
Popular ways to use it
- Back a private RAG application
- Add semantic search to documents
- Store agent memory embeddings
Choose resources for your workload
Size memory and storage for the number and dimensionality of embeddings you plan to retain.
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.