Comparison
graphrag vs PageIndex
Verdict
Pick graphrag if graphRAG is a Python-based tool designed for integrating retrieval and generation processes in large language models using graph structures; 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 · graphrag alternatives · PageIndex alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | graphrag | PageIndex |
|---|---|---|
| Maintenance | Very active (1d since push) As of 1w · github_public_v1 | Very active (1d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · 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
- graphrag
- A modular graph-based Retrieval-Augmented Generation (RAG) system
- PageIndex
- Document Index for Vectorless, Reasoning-based RAG
Stars
- graphrag
- 36k
- PageIndex
- 35k
Forks
- graphrag
- 3.7k
- PageIndex
- 3.1k
Open issues
- graphrag
- 46
- PageIndex
- 157
Language
- graphrag
- Python
- PageIndex
- Python
Adopt for
- graphrag
- GraphRAG is a Python-based tool designed for integrating retrieval and generation processes in large language models using graph structures.
- 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
- graphrag
- -
- PageIndex
- -
Runtime
- graphrag
- -
- PageIndex
- -
License
- graphrag
- MIT
- PageIndex
- MIT
Last pushed
- graphrag
- Aug 14, 2026
- PageIndex
- Aug 14, 2026
Categories
- graphrag
- Data & Retrieval, LLM Frameworks
- PageIndex
- AI Agents, Data & Retrieval
Trust and health
Open issues (now)
- graphrag
- 46
- PageIndex
- 157
Stars delta
- graphrag
- +1.0k (30d)
- PageIndex
- +1.1k (30d)
Open issues delta
- graphrag
- -15 (30d)
- PageIndex
- +18 (30d)
Full report
- graphrag
- Trust report
- PageIndex
- Trust report
Typed relationship
graphrag alternative PageIndexBoth systems deal with Retrieval-Augmented Generation (RAG) but PageIndex does so in a framework that relies more on reasoning and less on vectors, as compared to the graph-based approach of GraphRAG.
Choose graphrag if…
- Both systems deal with Retrieval-Augmented Generation (RAG) but PageIndex does so in a framework that relies more on reasoning and less on vectors, as compared to the graph-based approach of GraphRAG.
- Tags unique to graphrag: gpt, gpt-4, graph.
- Also covers LLM Frameworks.
- When you need to leverage graph structures to enhance the efficiency of information retrieval within a Retrieval-Augmented Generation setup.
When NOT to use graphrag
- If your application does not require or benefit from the specific graph-based approach GraphRAG employs; traditional RAG systems might be sufficient without the added layer of complexity introduced by
Choose PageIndex if…
- Both systems deal with Retrieval-Augmented Generation (RAG) but PageIndex does so in a framework that relies more on reasoning and less on vectors, as compared to the graph-based approach of GraphRAG.
- Tags unique to PageIndex: agentic-ai, agents, context-engineering, information-retrieval.
- Also covers AI Agents.
- 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 (microsoft/graphrag) · observed Aug 16, 2026
- GitHub forks (microsoft/graphrag) · observed Aug 16, 2026
- Last push (microsoft/graphrag) · 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 (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: graphrag 36k · PageIndex 35k (synced Aug 16, 2026).
Common questions
- What is the difference between graphrag and PageIndex?
- graphrag: A modular graph-based Retrieval-Augmented Generation (RAG) system. PageIndex: Document Index for Vectorless, Reasoning-based RAG. See the comparison table for live GitHub stats and shared categories.
- When should I choose graphrag over PageIndex?
- Choose graphrag over PageIndex when Both systems deal with Retrieval-Augmented Generation (RAG) but PageIndex does so in a framework that relies more on reasoning and less on vectors, as compared to the graph-based approach of GraphRAG; Tags unique to graphrag: gpt, gpt-4, graph; Also covers LLM Frameworks; When you need to leverage graph structures to enhance the efficiency of information retrieval within a Retrieval-Augmented Generation setup.
- When should I choose PageIndex over graphrag?
- Choose PageIndex over graphrag when Both systems deal with Retrieval-Augmented Generation (RAG) but PageIndex does so in a framework that relies more on reasoning and less on vectors, as compared to the graph-based approach of GraphRAG; Tags unique to PageIndex: agentic-ai, agents, context-engineering, information-retrieval; Also covers AI Agents; When your agentic AI project requires a non-vector database solution for reasoning and retrieval-augmented generation.
- When should I avoid graphrag?
- If your application does not require or benefit from the specific graph-based approach GraphRAG employs; traditional RAG systems might be sufficient without the added layer of complexity introduced by
- 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 graphrag or PageIndex more popular on GitHub?
- graphrag has more GitHub stars (35,519 vs 35,204). Stars measure visibility, not whether either tool fits your constraints.
- Are graphrag and PageIndex open source?
- Yes - both are open-source projects on GitHub (graphrag: MIT, PageIndex: MIT).
- Where can I find alternatives to graphrag or PageIndex?
- GraphCanon lists graph-backed alternatives at graphrag alternatives and PageIndex alternatives (graphrag 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, graphrag or PageIndex?
- graphrag: 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 graphrag and PageIndex?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: graphrag trust report; PageIndex trust report.