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KDB.AI

APIyesFREEyesDOCS4/5
KA7.2#18of 41
outWeb

Ranked in Vector database hosting·Free plan

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About

KDB.AI is a vector database and search engine for AI applications using real-time data. Its hybrid search combines dense and sparse vectors with metadata filtering and temporal similarity search. The platform supports retrieval-augmented generation over unstructured text, video, audio, and image data. Documented vector indexes include Flat, qFlat, IVF, IVFPQ, HSNW, and qHSNW, while listed integrations include LangChain, Vector IO, and LlamaIndex. Native NVIDIA cuVS integration supports GPU-accelerated vector search. Deployment options include a managed Cloud Starter Edition and a self-managed Server Standard Edition. The free Cloud Starter Edition provides 4 GB of memory, 30 GB of storage, and a 10 MB query size. KDB.AI presents research assistants, portfolio management, real-time alpha and beta extraction, and image processing as use cases. The product is available through an API, web interface, and self-hosted deployment. Its Cloud Starter agreement makes no commitment to uptime or service availability and provides the service without warranty. Support is directed through Slack or [email protected].

Who it is for

KDB.AI suits teams building real-time AI search and retrieval systems across text, media, and structured metadata. It also fits organizations choosing between managed cloud and self-managed deployment.

What is good

  • Hybrid dense and sparse vector search
  • Supports multimodal retrieval-augmented generation
  • Multiple documented vector index types
  • Native NVIDIA cuVS GPU integration
  • Free cloud starter plan

What to know first

  • Starter edition has a 10 MB query limit
  • Starter edition provides only 4 GB memory
  • Agreement makes no uptime commitment
  • Service is provided without warranty

Verdict

KDB.AI combines broad vector search methods, multimodal retrieval, and flexible deployment choices. The free starter limits and noncommittal availability terms matter when sizing production workloads.

Compared on vector database hosting

Free plan
Yeskdb.ai
Hybrid search
Yeskdb.ai
Metadata filtering
Yeskdb.ai

Facts

Product
KDB.AI is a vector database and search engine for building AI applications with real-time data.code.kx.com · 4 Oct 2026
Search
It supports hybrid search combining dense and sparse vector search, metadata filtering, and temporal similarity search.kdb.ai · 4 Oct 2026
Multimodal
The product supports RAG with unstructured data such as text, video, audio, and images.kdb.ai · 4 Oct 2026
Indexes
The cloud FAQ lists Flat, qFlat, IVF, IVFPQ, HSNW, and qHSNW as supported vector indexes.code.kx.com · 4 Oct 2026
Integrations
The documentation lists LangChain, Vector IO, and LlamaIndex integrations.code.kx.com · 4 Oct 2026
GPU integration
KDB.AI natively integrates NVIDIA cuVS for GPU-accelerated vector search.kdb.ai · 4 Oct 2026
Use cases
The maker presents AI research assistants, portfolio management, real-time alpha and beta extraction, and image processing as use cases.kdb.ai · 4 Oct 2026
Limits
KDB.AI Cloud Starter Edition provides 4 GB RAM, 30 GB storage, and a 10 MB query size.code.kx.com · 4 Oct 2026
Support
The cloud FAQ directs users to the Slack community or [email protected] for assistance.code.kx.com · 4 Oct 2026
Security terms
The Cloud Starter agreement asks users to secure their credentials and access keys and notify KX if they suspect compromise.kdb.ai · 4 Oct 2026
Availability terms
The Cloud Starter agreement makes no commitment to service availability or uptime and says the service is provided without warranty.kdb.ai · 4 Oct 2026
Deployment
The maker documents both a managed cloud Starter Edition and a self-managed Server Standard Edition.code.kx.com · 4 Oct 2026

Company

Founded
1993kdb.ai · 28 Sept 2026
Headquarters
Newry, Northern Ireland, UKkdb.ai · 28 Sept 2026

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