Comparison

KDB.AI vs txtai

On the evidence we track, txtai leads this comparison with a composite score of 63/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

KDB.AI full profile →txtai full profile →

Machine formatsJSON Markdown GraphQLor send Accept: application/json

KDB.AI42

★txtai63

Attribute comparison across 2 tools
Attribute	KDB.AI	txtaiLeader
Vioscale score	42 / 100low · 24%	63 / 100medium · 56%
Pricing
Free tierpricing.free_tier	✓	✓
Modelpricing.model	commercial	open_source
Price levelpricing.price_level	low	free
Transparentpricing.transparent	✗	✓
Integrations
Countintegrations.count	2	10
Security
Disclosure policysecurity.disclosure_policy	✓	-
Scorecardsecurity.scorecard	-	4.9
Vulnerabilitiessecurity.vulnerabilities	-	Count: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=txtai&per_page=100 · Last 12m: 0
Reliability
Status pagereliability.status_page	-	✓
Adoption
Dependent reposadoption.dependent_repos	-	14
Github starsadoption.github_stars	-	12,909
Activity
Commits last 30dactivity.commits_last_30d	-	70
Release
Cadence daysrelease.cadence_days	-	26
Historyrelease.history	-	20 items
License
Spdxlicense.spdx	-	Apache-2.0
Language
Primarylanguage.primary	-	Python

Score

Vioscale score

KDB.AI42 / 100low · 24%

txtai63 / 100medium · 56%

Pricing

Free tier

KDB.AI✓

txtai✓

Model

KDB.AIcommercial

txtaiopen_source

Price level

KDB.AIlow

txtaifree

Transparent

KDB.AI✗

txtai✓

Integrations

Count

KDB.AI2

txtai10

Security

Disclosure policy

KDB.AI✓

txtai–

Scorecard

KDB.AI–

txtai4.9

Vulnerabilities

KDB.AI–

txtaiCount: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=txtai&per_page=100 · Last 12m: 0

Reliability

Status page

KDB.AI–

txtai✓

Adoption

Dependent repos

KDB.AI–

txtai14

Github stars

KDB.AI–

txtai12,909

Activity

Commits last 30d

KDB.AI–

txtai70

Release

Cadence days

KDB.AI–

txtai26

History

KDB.AI–

txtai20 items

License

Spdx

KDB.AI–

txtaiApache-2.0

Language

Primary

KDB.AI–

txtaiPython

Capabilities

Feature-by-feature on the axes that matter for vector databases. “-” means undocumented, not absent.

Capability comparison for Vector Databases
Capability	KDB.AI	txtai
Deployment
Deployment	Managed	Embedded
Serverless / consumption pricing	-	-
Index
ANN index (HNSW / IVF / DiskANN / ScaNN / flat)	-	HNSW, IVF, IVFSparse, milvus-lite, turbovec, zvec
Distance metrics (cosine / dot / Euclidean)	-	cosine
Query
Metadata filtering	Pre-filter	Pre-filter
Hybrid search (dense + sparse fusion)	✓	✓
Built-in BM25 / lexical	✓	✓
Storage
Quantization	-	Scalar
On-disk vs in-memory	-	Disk-backed
Scale
Multi-tenancy (namespaces / collections / tenants)	✓	✓
Horizontal scale	Sharded / distributed	Sharded / distributed
Consistency
Consistency	-	Tunable
Licensing
Licence class	-	Permissive OSS
Classification
Purpose-built vs feature-of-parent	Dedicated DBMS	Dedicated DBMS

Deployment

KDB.AIManaged

txtaiEmbedded

Serverless / consumption pricing

KDB.AI-

txtai-

Index

ANN index (HNSW / IVF / DiskANN / ScaNN / flat)

KDB.AI-

txtaiHNSW, IVF, IVFSparse, milvus-lite, turbovec, zvec

Distance metrics (cosine / dot / Euclidean)

KDB.AI-

txtaicosine

Query

Metadata filtering

KDB.AIPre-filter

txtaiPre-filter

Hybrid search (dense + sparse fusion)

KDB.AI✓

txtai✓

Built-in BM25 / lexical

KDB.AI✓

txtai✓

Storage

Quantization

KDB.AI-

txtaiScalar

On-disk vs in-memory

KDB.AI-

txtaiDisk-backed

Scale

Multi-tenancy (namespaces / collections / tenants)

KDB.AI✓

txtai✓

Horizontal scale

KDB.AISharded / distributed

txtaiSharded / distributed

Consistency

KDB.AI-

txtaiTunable

Licensing

Licence class

KDB.AI-

txtaiPermissive OSS

Classification

Purpose-built vs feature-of-parent

KDB.AIDedicated DBMS

txtaiDedicated DBMS

What each one is

The product in its own terms, so the numbers below have context.

KDB.AI

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

txtai

Leader

txtai is an open-source Python framework for building semantic search applications, LLM-powered agents, retrieval augmented generation systems, and language model workflows with support for multiple vector backends and integration with various LLMs.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

KDB.AI

HybridFree tier

Free tier available; enterprise pricing via contact sales

FreeFree

as of 2026-08-03verify ↗

txtai

Leader

Open sourceFree tier

as of 2026-08-21verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platform and deployment support comparison
Supports	KDB.AI	txtai
WebPlatforms	-	✓
CLIPlatforms	-	✓
Cloud / SaaSDeployment	✓	✓
Self-hostedDeployment	✓	✓

Platforms

Web

KDB.AI–

txtai✓

CLI

KDB.AI–

txtai✓

Deployment

Cloud / SaaS

KDB.AI✓

txtai✓

Self-hosted

KDB.AI✓

txtai✓

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

In common (1)

Hugging Face

KDB.AI

2 total - 1 not shared

NVIDIA cuVS

Independently observed

txtai

Leader

11 total - 10 not shared

llama.cpp
LiteLLM
OpenAI
Claude
AWS Bedrock
smolagents
OpenCode
DuckDB
Milvus
LiteRT

Independently observed

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.