Comparison
nucliadb vs llm-app
Verdict
Pick nucliadb if nucliaDB offers AI-driven semantic search tailored for unstructured data with RAG capabilities, built using Python and Rust; pick llm-app if llm-app offers pre-configured cloud deployment templates designed specifically for creating AI-driven applications such as chatbots and machine learning projects leveraging Hugging Face models. It supports direct integrz.
Markdown twin · nucliadb alternatives · llm-app alternatives
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Trust & integrity
| Signal | nucliadb | llm-app |
|---|---|---|
| Maintenance | Very active (1d since push) As of today · github_public_v1 | Steady (41d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- nucliadb
- NucliaDB, The AI Search database for RAG
- llm-app
- Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.
Stars
- nucliadb
- 721
- llm-app
- 59k
Forks
- nucliadb
- 58
- llm-app
- 1.5k
Open issues
- nucliadb
- 6
- llm-app
- 8
Language
- nucliadb
- Python
- llm-app
- Jupyter Notebook
Adopt for
- nucliadb
- NucliaDB offers AI-driven semantic search tailored for unstructured data with RAG capabilities, built using Python and Rust.
- llm-app
- llm-app offers pre-configured cloud deployment templates designed specifically for creating AI-driven applications such as chatbots and machine learning projects leveraging Hugging Face models. It supports direct integrz
Persona
- nucliadb
- -
- llm-app
- -
Runtime
- nucliadb
- -
- llm-app
- -
License
- nucliadb
- Other
- llm-app
- MIT
Last pushed
- nucliadb
- Aug 21, 2026
- llm-app
- Jul 5, 2026
Categories
- nucliadb
- Data & Retrieval, Vector Databases
- llm-app
- Data & Retrieval, LLM Frameworks, Vector Databases
Trust and health
Maintenance
- nucliadb
- Very active (96%)
- llm-app
- Steady (60%)
Days since push
- nucliadb
- 1d
- llm-app
- 41d
Open issues (now)
- nucliadb
- 6
- llm-app
- 8
Stars delta
- nucliadb
- +3 (30d)
- llm-app
- +11 (30d)
Open issues delta
- nucliadb
- -1 (30d)
- llm-app
- -2 (30d)
Full report
- nucliadb
- Trust report
- llm-app
- Trust report
Choose nucliadb if…
- nucliadb is primarily Python; llm-app is Jupyter Notebook.
- License: nucliadb is Other, llm-app is MIT.
- Tags unique to nucliadb: ai-powered-search, database, language-model, machine-learning.
- nucliadb ships Docker support for self-hosted deployment.
- Need robust semantic indexing and language model integration in your search solutions
When NOT to use nucliadb
- Seeking a simpler NoSQL database without AI-powered features for unstructured data
- Looking for a solution exclusively focused on numeric or structured data processing
Choose llm-app if…
- llm-app is primarily Jupyter Notebook; nucliadb is Python.
- License: llm-app is MIT, nucliadb is Other.
- Requirements: Requires Docker; The tool is Docker-friendly and designed to ensure synchronization with cloud-based storage solutions among others..
- Tags unique to llm-app: chatbot, hugging-face, llm, retrieval-augmented-generation.
- Also covers LLM Frameworks.
- - You need a ready-to-run solution that directly integrates with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and live APIs.
When NOT to use llm-app
- - You require custom deployment configurations that extend beyond the pre-set cloud templates available through llm-app.
- - There’s a need for tightly integrated support with data sources or APIs not explicitly mentioned, such as specialized CRM systems (Salesforce), which may lack direct template support in llm-app.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (nuclia/nucliadb) · observed Aug 23, 2026
- GitHub forks (nuclia/nucliadb) · observed Aug 23, 2026
- Last push (nuclia/nucliadb) · observed Aug 21, 2026
- License file (Other) · observed Aug 23, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (pathwaycom/llm-app) · observed Aug 16, 2026
- GitHub forks (pathwaycom/llm-app) · observed Aug 16, 2026
- Last push (pathwaycom/llm-app) · observed Jul 5, 2026
- License file (MIT) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: nucliadb 721 · llm-app 59k (synced Aug 23, 2026).
Common questions
- What is the difference between nucliadb and llm-app?
- nucliadb: NucliaDB, The AI Search database for RAG. llm-app: Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.. See the comparison table for live GitHub stats and shared categories.
- When should I choose nucliadb over llm-app?
- Choose nucliadb over llm-app when nucliadb is primarily Python; llm-app is Jupyter Notebook; License: nucliadb is Other, llm-app is MIT; Tags unique to nucliadb: ai-powered-search, database, language-model, machine-learning; nucliadb ships Docker support for self-hosted deployment; Need robust semantic indexing and language model integration in your search solutions.
- When should I choose llm-app over nucliadb?
- Choose llm-app over nucliadb when llm-app is primarily Jupyter Notebook; nucliadb is Python; License: llm-app is MIT, nucliadb is Other; Requirements: Requires Docker; The tool is Docker-friendly and designed to ensure synchronization with cloud-based storage solutions among others.; Tags unique to llm-app: chatbot, hugging-face, llm, retrieval-augmented-generation; Also covers LLM Frameworks; - You need a ready-to-run solution that directly integrates with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and live APIs.
- When should I avoid nucliadb?
- Seeking a simpler NoSQL database without AI-powered features for unstructured data Looking for a solution exclusively focused on numeric or structured data processing
- When should I avoid llm-app?
- - You require custom deployment configurations that extend beyond the pre-set cloud templates available through llm-app. - There’s a need for tightly integrated support with data sources or APIs not explicitly mentioned, such as specialized CRM systems (Salesforce), which may lack direct template support in llm-app.
- Is nucliadb or llm-app more popular on GitHub?
- llm-app has more GitHub stars (59,037 vs 721). Stars measure visibility, not whether either tool fits your constraints.
- Are nucliadb and llm-app open source?
- Yes - both are open-source projects on GitHub (nucliadb: Other, llm-app: MIT).
- Where can I find alternatives to nucliadb or llm-app?
- GraphCanon lists graph-backed alternatives at nucliadb alternatives and llm-app alternatives (nucliadb markdown twin, llm-app markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, nucliadb or llm-app?
- nucliadb: Very active. llm-app: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for nucliadb and llm-app?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: nucliadb trust report; llm-app trust report.