graphiti vs PageIndex

Common questions

What is the difference between graphiti and PageIndex?

graphiti: Build Real-Time Knowledge Graphs for AI Agents. PageIndex: Document Index for Vectorless, Reasoning-based RAG. See the comparison table for live GitHub stats and shared categories.

When should I choose graphiti over PageIndex?

Choose graphiti over PageIndex when License: graphiti is Apache-2.0, PageIndex is MIT; PageIndex focuses on context-aware retrieval and reasoning for RAG, whereas Graphiti is aimed at building real-time knowledge graphs which can be utilized by AI agents for improved understanding of the relational data; Tags unique to graphiti: amazon-neptune, falkordb, graph, llms; Also covers AI Agents, LLM Frameworks; graphiti ships Docker support for self-hosted deployment; If you require seamless integration with LLM services that support structured output like OpenAI, Anthropic, or Google Gemini.

When should I choose PageIndex over graphiti?

Choose PageIndex over graphiti when License: PageIndex is MIT, graphiti is Apache-2.0; PageIndex focuses on context-aware retrieval and reasoning for RAG, whereas Graphiti is aimed at building real-time knowledge graphs which can be utilized by AI agents for improved understanding of the relational data; Tags unique to PageIndex: agentic-ai, ai-agents, context-engineering, information retrieval; Also covers Data & Retrieval, Evaluation & Observability; Use PageIndex when you need to index documents for retrieval-augmented generation tasks that require reasoning-based retrieval.

When should I avoid graphiti?

Consider alternative tools if your project primarily uses non-compliant LLM providers without structured output support. If you prefer not to use Python or do not need the capability to build real-time knowledge graphs for AI applications.

When should I avoid PageIndex?

Do not use PageIndex if your application heavily relies on vector databases for document retrieval, as PageIndex is designed to work without them. Avoid PageIndex if you need to handle documents larger than the context window of the model you are using, as PageIndex may not be able to process them. Do not use PageIndex if you require a tool that can handle documents that do not fit into the context window at all, as PageIndex may not be suitable for such cases.

Is graphiti or PageIndex more popular on GitHub?

PageIndex has more GitHub stars (35,705 vs 30,018). Stars measure visibility, not whether either tool fits your constraints.

Are graphiti and PageIndex open source?

Yes - both are open-source projects on GitHub (graphiti: Apache-2.0, PageIndex: MIT).

Where can I find alternatives to graphiti or PageIndex?

GraphCanon lists graph-backed alternatives at graphiti alternatives and PageIndex alternatives (graphiti 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, graphiti or PageIndex?

graphiti: 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 graphiti and PageIndex?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: graphiti trust report; PageIndex trust report.