Managed vector storage optimised for AI embeddings and semantic search — scale your RAG pipelines without managing infrastructure.
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Talk to SalesChoose the engine that fits your AI stack. Antryk deploys it as a fully managed, isolated instance with free SSL, free custom domain, and zero infrastructure work.
Cloud-native, open-source vector database built for billion-scale similarity search — GPU acceleration supported, ideal for large ML pipelines.
High-performance vector similarity search engine with payload filtering, sparse vector support, and a Rust-powered core for low latency at scale.
Developer-friendly embedding database — plug-and-play with LangChain, LlamaIndex, and OpenAI. Perfect for rapid RAG prototype-to-production workflows.
AI-native vector database with built-in modules for text, images, and code — multi-modal search, hybrid BM25+vector retrieval out of the box.
From RAG pipelines to semantic search to recommendation engines — vector databases are the backbone of modern AI applications.
Power Retrieval-Augmented Generation pipelines — store document embeddings and retrieve the most semantically relevant chunks at query time to feed your LLM context.
Replace keyword search with meaning-based retrieval. Find products, articles, or support tickets by intent — not just exact word matches.
Embed user preferences and item features into vector space. Serve personalised recommendations in milliseconds using nearest-neighbour lookup.
Persist and version embeddings from OpenAI, Cohere, HuggingFace, or your own models. Query across millions of vectors with sub-second latency.
Self-hosting Milvus or Weaviate requires Kubernetes, Helm, persistent volumes, and SSL configuration. On Antryk, it's select an engine, pick a plan, deploy.
Free SSL on every instance
TLS encrypted connections to your vector DB, always on
Free custom domain
Map your own domain to the vector DB endpoint — zero cost
Zero-config deployment
No YAML, no Helm charts, no Kubernetes — attach repo and deploy
Fixed monthly pricing
No per-query or per-vector indexing charges
Isolated instances
Each deployment is fully isolated — no shared tenancy
SDK & API ready
Compatible with all official client SDKs out of the box
Everything about Antryk vector database pricing, engine selection, and AI use cases.
Every service runs on the same platform — one dashboard, one bill, zero context-switching.
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