Home/Compare/paradedb vs llm-app

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

paradedb logo

paradedb

paradedb/paradedb

9.0kpushed Jul 11, 2026
vs
llm-app logo

llm-app

pathwaycom/llm-app

59kpushed Jul 5, 2026

Trust & integrity

Signalparadedbllm-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

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 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.