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SPECIFICTION
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KDB.AI

kdb.ai

Free plan WebAPISelf-hosted
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Spec score 7.9 #11 of 27 in Vector Databases

What it is

KDB.AI is a vector database and search engine for building AI applications with real-time data. Its hybrid search combines dense and sparse vector search with metadata filtering and temporal similarity search. It supports retrieval-augmented generation using unstructured text, video, audio, and image data. Listed vector indexes include Flat, qFlat, IVF, IVFPQ, HNSW, qHNSW, and BM25. Documentation lists integrations with LangChain, Vector IO, and LlamaIndex, while native NVIDIA cuVS integration enables 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 per instance, 30 GB of storage, and a 10 MB query size. Its agreement makes no commitment to availability or uptime and provides the service without warranty. The cloud FAQ points users to a Slack community or [email protected] for assistance. The maker presents research assistants, portfolio management, real-time alpha and beta extraction, and image processing as use cases. KDB.AI is offered through API, web, and self-hosted platforms.

Spec sheet

Product
KDB.AI is a vector database and search engine for building AI applications with real-time data.Read 4 Oct 2026 · code.kx.com
Deployment
The maker documents both a managed cloud Starter Edition and a self-managed Server Standard Edition.Read 4 Oct 2026 · code.kx.com
Integrations
The documentation lists LangChain, Vector IO, and LlamaIndex integrations.Read 4 Oct 2026 · code.kx.com
Support
The cloud FAQ directs users to the Slack community or [email protected] for assistance.Read 4 Oct 2026 · code.kx.com
Headquarters
Newry, Northern Ireland, UKRead 28 Sep 2026 · kdb.ai
Founded
1993Read 28 Sep 2026 · kdb.ai
Availability terms
The Cloud Starter agreement makes no commitment to service availability or uptime and says the service is provided without warranty.Read 4 Oct 2026 · kdb.ai
GPU integration
KDB.AI natively integrates NVIDIA cuVS for GPU-accelerated vector search.Read 4 Oct 2026 · kdb.ai
Indexes
The cloud FAQ lists Flat, qFlat, IVF, IVFPQ, HSNW, and qHSNW as supported vector indexes.Read 4 Oct 2026 · code.kx.com
Limits
KDB.AI Cloud Starter Edition provides 4 GB RAM, 30 GB storage, and a 10 MB query size.Read 4 Oct 2026 · code.kx.com
Multimodal
The product supports RAG with unstructured data such as text, video, audio, and images.Read 4 Oct 2026 · kdb.ai
Search
It supports hybrid search combining dense and sparse vector search, metadata filtering, and temporal similarity search.Read 4 Oct 2026 · kdb.ai
Security terms
The Cloud Starter agreement asks users to secure their credentials and access keys and notify KX if they suspect compromise.Read 4 Oct 2026 · kdb.ai
Use cases
The maker presents AI research assistants, portfolio management, real-time alpha and beta extraction, and image processing as use cases.Read 4 Oct 2026 · kdb.ai

Plans and prices

KDB.AI Cloud Starter Edition Free 4 GB memory per instance · 30 GB storage · 10 MB query size Read 4 Oct 2026 · code.kx.com
KDB.AI Server Standard Edition Priced on request Single-container deployment · scale to requirements · customize to development environment Read 4 Oct 2026 · code.kx.com

Every KDB.AI plan and price →

Strong points and limits

Strong points

  • Combines dense and sparse search with metadata filters
  • Supports temporal similarity search
  • Works with text, video, audio, and image data
  • Integrates with LangChain, Vector IO, and LlamaIndex
  • Offers managed cloud and self-managed deployment

Limits

  • Cloud Starter has a 10 MB query-size limit
  • Cloud Starter agreement does not promise uptime
  • Cloud Starter is provided without warranty

Who it suits

KDB.AI suits developers building AI applications that need hybrid or temporal vector search and retrieval across text, video, audio, or images. Its documented cloud and self-managed options serve teams considering either managed access or their own deployment.

Verdict

KDB.AI pairs hybrid search with multimodal retrieval and both managed and self-managed deployment options. Review the Cloud Starter limits and service terms before relying on it for availability-sensitive work.

Where Specifiction places it

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