Comparison
awesome-llm-apps vs raglite
Verdict
Pick awesome-llm-apps if awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python; pick raglite if rAGLite offers specialized capabilities for integrating Retrieval-Augmented Generation (RAG) models with DuckDB or PostgreSQL.
Markdown twin · awesome-llm-apps alternatives · raglite alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | awesome-llm-apps | raglite |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1d · github_public_v1 | Very active (2d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1d · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of 1d · none | No lockfile As of today · none |
Tagline
- awesome-llm-apps
- 100+ AI Agent & RAG apps you can actually run — clone, customize, ship.
- raglite
- Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL
Stars
- awesome-llm-apps
- 118k
- raglite
- 1.2k
Forks
- awesome-llm-apps
- 17k
- raglite
- 108
Open issues
- awesome-llm-apps
- 6
- raglite
- 13
Language
- awesome-llm-apps
- Python
- raglite
- Python
Adopt for
- awesome-llm-apps
- awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python.
- raglite
- RAGLite offers specialized capabilities for integrating Retrieval-Augmented Generation (RAG) models with DuckDB or PostgreSQL.
Persona
- awesome-llm-apps
- -
- raglite
- -
Runtime
- awesome-llm-apps
- -
- raglite
- -
License
- awesome-llm-apps
- The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license.
- raglite
- MPL-2.0
Last pushed
- awesome-llm-apps
- Jul 11, 2026
- raglite
- Jul 9, 2026
Categories
- awesome-llm-apps
- AI Agents, Data & Retrieval
- raglite
- Data & Retrieval, Model Training
Trust and health
Days since push
- awesome-llm-apps
- 0d
- raglite
- 2d
Open issues (now)
- awesome-llm-apps
- 6
- raglite
- 13
Owner type
- awesome-llm-apps
- User
- raglite
- Organization
Full report
- awesome-llm-apps
- Trust report
- raglite
- Trust report
Choose awesome-llm-apps if…
- License: awesome-llm-apps is Apache-2.0, raglite is MPL-2.0.
- Pricing: Free with open-source licensing, but commercial exploitation is allowed..
- Tags unique to awesome-llm-apps: agents, applications, customizable, deployable.
- Also covers AI Agents.
- When you need quick implementations of various real-world use cases for AI Agents and RAG.
When NOT to use awesome-llm-apps
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch.
- When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
Choose raglite if…
- License: raglite is MPL-2.0, awesome-llm-apps is Apache-2.0.
- Tags unique to raglite: chainlit, colbert, duckdb, evals.
- Also covers Model Training.
- raglite ships Docker support for self-hosted deployment.
- - You need to leverage Retriever-Reader architectures specifically optimized for either DuckDB or PostgreSQL backend databases.
When NOT to use raglite
- - The project demands integration with RAG systems that natively support database backends other than DuckDB and PostgreSQL, as RAGLite is limited to these two options.
- - You are looking for a more generalized framework that supports multiple vector search engines besides those compatible with DuckDB or PostgreSQL.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Shubhamsaboo/awesome-llm-apps) · observed Jul 11, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Jul 11, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (superlinear-ai/raglite) · observed Jul 11, 2026
- GitHub forks (superlinear-ai/raglite) · observed Jul 11, 2026
- Last push (superlinear-ai/raglite) · observed Jul 9, 2026
- License file (MPL-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-llm-apps 118k · raglite 1.2k (synced Jul 11, 2026).
Common questions
- What is the difference between awesome-llm-apps and raglite?
- awesome-llm-apps: 100+ AI Agent & RAG apps you can actually run — clone, customize, ship.. raglite: Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-llm-apps over raglite?
- Choose awesome-llm-apps over raglite when License: awesome-llm-apps is Apache-2.0, raglite is MPL-2.0; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; Also covers AI Agents; When you need quick implementations of various real-world use cases for AI Agents and RAG.
- When should I choose raglite over awesome-llm-apps?
- Choose raglite over awesome-llm-apps when License: raglite is MPL-2.0, awesome-llm-apps is Apache-2.0; Tags unique to raglite: chainlit, colbert, duckdb, evals; Also covers Model Training; raglite ships Docker support for self-hosted deployment; - You need to leverage Retriever-Reader architectures specifically optimized for either DuckDB or PostgreSQL backend databases.
- When should I avoid awesome-llm-apps?
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
- When should I avoid raglite?
- - The project demands integration with RAG systems that natively support database backends other than DuckDB and PostgreSQL, as RAGLite is limited to these two options. - You are looking for a more generalized framework that supports multiple vector search engines besides those compatible with DuckDB or PostgreSQL.
- Is awesome-llm-apps or raglite more popular on GitHub?
- awesome-llm-apps has more GitHub stars (117,774 vs 1,194). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-llm-apps and raglite open source?
- Yes - both are open-source projects on GitHub (awesome-llm-apps: Apache-2.0, raglite: MPL-2.0).
- Where can I find alternatives to awesome-llm-apps or raglite?
- GraphCanon lists graph-backed alternatives at awesome-llm-apps alternatives and raglite alternatives (awesome-llm-apps markdown twin, raglite 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, awesome-llm-apps or raglite?
- awesome-llm-apps: Very active. raglite: 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 awesome-llm-apps and raglite?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-llm-apps trust report; raglite trust report.