Comparison

NucliaDB vs txtai

On the evidence we track, txtai leads this comparison with a composite score of 61/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
NucliaDB56
★txtai61
Score
vioscaleAI score
NucliaDB56 / 100medium · 51%
txtai61 / 100medium · 56%
Pricing
Free tier
NucliaDB✓
txtai✓
Model
Price level
NucliaDBhigh
txtaifree
Transparent
NucliaDB✓
txtai✓
Integrations
Count
NucliaDB1
txtai5
Security
Gdpr
NucliaDB✓
txtai–
Iso27001
NucliaDB✓
txtai–
Scorecard
NucliaDB–
txtai5.4
Soc2
NucliaDB✓
txtai–
Reliability
Status page
NucliaDB–
txtai✓
Adoption
Dependent repos
NucliaDB–
txtai14
Github stars
NucliaDB–
txtai13,018
Activity
Commits last 30d
NucliaDB–
txtai100
Release
Cadence days
NucliaDB–
txtai27
History
NucliaDB–
License
Spdx
NucliaDB–
Language
Primary
NucliaDB–
txtaiPython
Content
Faq
NucliaDB5 items
txtai6 items

Capabilities

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

Deployment
Deployment
NucliaDBManaged
txtaiEmbedded
Serverless / consumption pricing
NucliaDB✗
txtai-
Index
ANN index (HNSW / IVF / DiskANN / ScaNN / flat)
NucliaDB-
txtaiHNSW, IVF, IVFSparse, milvus-lite, turbovec, zvec
Distance metrics (cosine / dot / Euclidean)
NucliaDB-
txtaicosine
Query
Metadata filtering
NucliaDB-
txtaiPre-filter
Hybrid search (dense + sparse fusion)
NucliaDB✓
txtai✓
Built-in BM25 / lexical
NucliaDB-
txtai✓
Storage
Quantization
NucliaDB-
txtaiScalar
On-disk vs in-memory
NucliaDBDisk-backed
txtaiDisk-backed
Scale
Multi-tenancy (namespaces / collections / tenants)
NucliaDB✓
txtai✓
Horizontal scale
NucliaDBSharded / distributed
txtaiSharded / distributed
Consistency
Consistency
NucliaDB-
txtaiTunable
Licensing
Licence class
NucliaDBProprietary
txtaiPermissive OSS
Classification
Purpose-built vs feature-of-parent
NucliaDBDedicated DBMS
txtaiDedicated DBMS

What each one is

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

NucliaDB

Progress Agentic RAG is a RAG-as-a-Service platform providing a centralized agentic knowledge layer for building AI experiences with enterprise-scale governance, compliance, and multi-agent capabilities.

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.

NucliaDB

from $700/moSubscriptionFree tier14-day trial

From $700/month. 14-day free trial available.

  • Starter$700/month
    • RAG
    • Q&A
    • Community support
  • Pro$1,925/month
    • RAG
    • Q&A
    • AI classification
    • Generative search
    • AI Assistant
    • +2 more
  • EnterpriseContact sales
    • RAG
    • Q&A
    • AI classification
    • Generative search
    • AI Assistant
    • +4 more
as of verify ↗

txtai

Leader
Open sourceFree tier
as of verify ↗

Platform & deployment

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

Platforms
Web
NucliaDB✓
txtai✓
CLI
NucliaDB✗
txtai✓
Deployment
Cloud / SaaS
NucliaDB✓
txtai✗
Self-hosted
NucliaDB✗
txtai✓
Hybrid
NucliaDB✓
txtai✗

Integrations

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

NucliaDB

1 total
  • AWS Marketplace
Independently observed

txtai

Leader
12 total
  • llama.cpp
  • LiteLLM
  • Hugging Face
  • OpenAI
  • Claude
  • AWS Bedrock
  • smolagents
  • OpenCode
  • DuckDB
  • Milvus
  • LiteRT
  • Model Context Protocol
Independently observed
Still deciding?

NucliaDB or txtai: which one depends on you

A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.

Free to run, no account needed to start. How the evaluation works

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