Comparison
awesome-llm-apps vs PageIndex
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 PageIndex if pageIndex is a Python-based document indexing system that doesn't rely on vector databases. It's designed for agentic AI tasks where reasoning and context are key.
Markdown twin · awesome-llm-apps alternatives · PageIndex alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | awesome-llm-apps | PageIndex |
|---|---|---|
| Maintenance | Very active (4d since push) As of 1w · github_public_v1 | Very active (1d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Organization account As of 4d · 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
- awesome-llm-apps
- Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.
- PageIndex
- Document Index for Vectorless, Reasoning-based RAG
Stars
- awesome-llm-apps
- 131k
- PageIndex
- 35k
Forks
- awesome-llm-apps
- 19k
- PageIndex
- 3.1k
Open issues
- awesome-llm-apps
- 13
- PageIndex
- 157
Language
- awesome-llm-apps
- Python
- PageIndex
- 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.
- PageIndex
- PageIndex is a Python-based document indexing system that doesn't rely on vector databases. It's designed for agentic AI tasks where reasoning and context are key.
Persona
- awesome-llm-apps
- -
- PageIndex
- -
Runtime
- awesome-llm-apps
- -
- PageIndex
- -
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.
- PageIndex
- MIT
Last pushed
- awesome-llm-apps
- Aug 3, 2026
- PageIndex
- Aug 14, 2026
Categories
- awesome-llm-apps
- AI Agents, Data & Retrieval
- PageIndex
- AI Agents, Data & Retrieval
Trust and health
Days since push
- awesome-llm-apps
- 4d
- PageIndex
- 1d
Open issues (now)
- awesome-llm-apps
- 13
- PageIndex
- 157
Stars delta
- awesome-llm-apps
- +14k (30d)
- PageIndex
- +1.1k (30d)
Open issues delta
- awesome-llm-apps
- +6 (30d)
- PageIndex
- +18 (30d)
Owner type
- awesome-llm-apps
- User
- PageIndex
- Organization
Full report
- awesome-llm-apps
- Trust report
- PageIndex
- Trust report
Choose awesome-llm-apps if…
- License: awesome-llm-apps is Apache-2.0, PageIndex is MIT.
- Pricing: Free with open-source licensing, but commercial exploitation is allowed..
- Tags unique to awesome-llm-apps: applications, customizable, deployable, llms.
- 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 PageIndex if…
- License: PageIndex is MIT, awesome-llm-apps is Apache-2.0.
- Tags unique to PageIndex: agentic-ai, context-engineering, information-retrieval, llm.
- When your agentic AI project requires a non-vector database solution for reasoning and retrieval-augmented generation.
When NOT to use PageIndex
- For projects that strictly require the efficiency of vector databases, as PageIndex operates independently of these technologies.
- When your application demands real-time indexing or quick data access methods that are more suited to vector database capabilities.
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 Aug 7, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Aug 7, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Aug 3, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (VectifyAI/PageIndex) · observed Aug 16, 2026
- GitHub forks (VectifyAI/PageIndex) · observed Aug 16, 2026
- Last push (VectifyAI/PageIndex) · observed Aug 14, 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: awesome-llm-apps 131k · PageIndex 35k (synced Aug 7, 2026).
Common questions
- What is the difference between awesome-llm-apps and PageIndex?
- awesome-llm-apps: Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.. PageIndex: Document Index for Vectorless, Reasoning-based RAG. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-llm-apps over PageIndex?
- Choose awesome-llm-apps over PageIndex when License: awesome-llm-apps is Apache-2.0, PageIndex is MIT; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: applications, customizable, deployable, llms; When you need quick implementations of various real-world use cases for AI Agents and RAG.
- When should I choose PageIndex over awesome-llm-apps?
- Choose PageIndex over awesome-llm-apps when License: PageIndex is MIT, awesome-llm-apps is Apache-2.0; Tags unique to PageIndex: agentic-ai, context-engineering, information-retrieval, llm; When your agentic AI project requires a non-vector database solution for reasoning and retrieval-augmented generation.
- 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 PageIndex?
- For projects that strictly require the efficiency of vector databases, as PageIndex operates independently of these technologies. When your application demands real-time indexing or quick data access methods that are more suited to vector database capabilities.
- Is awesome-llm-apps or PageIndex more popular on GitHub?
- awesome-llm-apps has more GitHub stars (131,230 vs 35,204). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-llm-apps and PageIndex open source?
- Yes - both are open-source projects on GitHub (awesome-llm-apps: Apache-2.0, PageIndex: MIT).
- Where can I find alternatives to awesome-llm-apps or PageIndex?
- GraphCanon lists graph-backed alternatives at awesome-llm-apps alternatives and PageIndex alternatives (awesome-llm-apps markdown twin, PageIndex 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 PageIndex?
- awesome-llm-apps: Very active. PageIndex: 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 PageIndex?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-llm-apps trust report; PageIndex trust report.