Comparison
paradedb vs llm-app
Verdict
Pick paradedb when paradedb is primarily Rust; llm-app is Jupyter Notebook; pick llm-app when llm-app is primarily Jupyter Notebook; paradedb is Rust.
Markdown twin · paradedb alternatives · llm-app alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | paradedb | llm-app |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Very active (5d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of 1d · none |
Tagline
- paradedb
- One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.
- llm-app
- Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.
Stars
- paradedb
- 9.0k
- llm-app
- 59k
Forks
- paradedb
- 419
- llm-app
- 1.4k
Open issues
- paradedb
- 155
- llm-app
- 10
Language
- paradedb
- Rust
- llm-app
- Jupyter Notebook
Adopt for
- paradedb
- -
- 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
- paradedb
- -
- llm-app
- -
Runtime
- paradedb
- -
- llm-app
- -
License
- paradedb
- AGPL-3.0
- llm-app
- MIT
Last pushed
- paradedb
- Jul 11, 2026
- llm-app
- Jul 5, 2026
Categories
- paradedb
- Data & Retrieval, Vector Databases
- llm-app
- Data & Retrieval, LLM Frameworks, Vector Databases
Trust and health
Days since push
- paradedb
- 0d
- llm-app
- 5d
Open issues (now)
- paradedb
- 155
- llm-app
- 10
Full report
- paradedb
- Trust report
- llm-app
- Trust report
Choose paradedb if…
- paradedb is primarily Rust; llm-app is Jupyter Notebook.
- License: paradedb is AGPL-3.0, llm-app is MIT.
- Tags unique to paradedb: aggregations, analytics, bm25, database.
When NOT to use paradedb
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Choose llm-app if…
- llm-app is primarily Jupyter Notebook; paradedb is Rust.
- License: llm-app is MIT, paradedb is AGPL-3.0.
- 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 (paradedb/paradedb) · observed Jul 11, 2026
- GitHub forks (paradedb/paradedb) · observed Jul 11, 2026
- Last push (paradedb/paradedb) · observed Jul 11, 2026
- License file (AGPL-3.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (pathwaycom/llm-app) · observed Jul 11, 2026
- GitHub forks (pathwaycom/llm-app) · observed Jul 11, 2026
- Last push (pathwaycom/llm-app) · observed Jul 5, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: paradedb 9.0k · llm-app 59k (synced Jul 11, 2026).
Common questions
- What is the difference between paradedb and llm-app?
- paradedb: One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.. 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 paradedb over llm-app?
- Choose paradedb over llm-app when paradedb is primarily Rust; llm-app is Jupyter Notebook; License: paradedb is AGPL-3.0, llm-app is MIT; Tags unique to paradedb: aggregations, analytics, bm25, database.
- When should I choose llm-app over paradedb?
- Choose llm-app over paradedb when llm-app is primarily Jupyter Notebook; paradedb is Rust; License: llm-app is MIT, paradedb is AGPL-3.0; 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 paradedb?
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- 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 paradedb or llm-app more popular on GitHub?
- llm-app has more GitHub stars (59,068 vs 9,036). Stars measure visibility, not whether either tool fits your constraints.
- Are paradedb and llm-app open source?
- Yes - both are open-source projects on GitHub (paradedb: AGPL-3.0, llm-app: MIT).
- Where can I find alternatives to paradedb or llm-app?
- GraphCanon lists graph-backed alternatives at paradedb alternatives and llm-app alternatives (paradedb 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, paradedb or llm-app?
- paradedb: Very active. llm-app: Very active. 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 paradedb and llm-app?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: paradedb trust report; llm-app trust report.