# KDB.AI

> The Scalable Vector Database for AI

- **Canonical URI:** https://www.vioscale.ai/software/kdb-ai
- **Category:** Vector Databases
- **Homepage:** https://kdb.ai
- **Also known as:** kdb-ai
- **Profile claimed by vendor:** no
- **Last updated:** 2026-08-03T13:15:01.334Z

## Vioscale score

**39.2 / 100**, confidence 27% (low).

Composite of weighted, independently-sourced signals (no user reviews, no vendor payment).

| Signal | Score | Weight | Contribution | Evidence present |
|---|--:|--:|--:|:--:|
| price_level | 80 | 6 | 480 | ✓ |
| reliability | 0 | 10 | 0 | - |
| capabilities | 45.8 | 17 | 778.9 | ✓ |
| integrations | 8.7 | 8 | 69.3 | ✓ |
| security_posture | 5 | 18 | 0 | - |
| pricing_transparency | 25 | 8 | 200 | ✓ |

## Pricing

_As of 2026-08-03, [verify at source](https://kdb.ai). Independently observed._

Hybrid · Free tier

> Free tier available; enterprise pricing via contact sales

| Plan | Price | Free | Commitment |
|---|---|:--:|---|
| Free | Free | ✓ | - |

## About

A vector database for contextual and time series search that enables building AI apps, finding patterns in data, and mixing structured with unstructured data.

_Independently observed._

## Platform & deployment
- **Deployment:** Cloud / SaaS

## Integrations (1)

_Independently observed._

- NVIDIA cuVS

## Capabilities

_The capabilities that matter for Vector Databases. "-" = undocumented, not absent._

| Capability | Supported |
|---|:--:|
| **Deployment** | |
| Deployment | Managed |
| **Index** | |
| ANN index (HNSW / IVF / DiskANN / ScaNN / flat) | - |
| Distance metrics (cosine / dot / Euclidean) | - |
| **Query** | |
| Metadata filtering | Post-filter |
| Hybrid search (dense + sparse fusion) | ✓ |
| Built-in BM25 / lexical | - |
| **Storage** | |
| Quantization | - |
| **Scale** | |
| Multi-tenancy (namespaces / collections / tenants) | - |
| Horizontal scale | Sharded / distributed |
| **Consistency** | |
| Consistency | - |
| **Deployment** | |
| Serverless / consumption pricing | ✓ |
| **Storage** | |
| On-disk vs in-memory | - |
| **Licensing** | |
| Licence class | - |
| **Classification** | |
| Purpose-built vs feature-of-parent | Dedicated DBMS |

## Facts

Every value below carries its source and our confidence. Facts are re-crawled on a freshness schedule.

### integrations

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| integrations.count | 1 | [link](https://kdb.ai) | 2026-08-03 | 60% (medium) |

### pricing

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| pricing.free_tier | yes | [link](https://kdb.ai) | 2026-08-03 | 60% (medium) |
| pricing.model | commercial | [link](https://kdb.ai) | 2026-08-03 | 70% (medium) |
| pricing.price_level | low | [link](https://kdb.ai) | 2026-08-03 | 60% (medium) |
| pricing.transparent | no | [link](https://kdb.ai) | 2026-08-03 | 60% (medium) |

### security

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| security.disclosure_policy | yes | [link](https://kdb.ai/.well-known/security.txt) | 2026-08-03 | 60% (medium) |

---
*Source: Vioscale (https://www.vioscale.ai/software/kdb-ai). Independent, evidence-based software intelligence. Cite the canonical URI.*