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; Requirements: Min 4 GB RAM; - Python runtime is required as Graphiti is built in Python.; - Apache-2.0 licensed, meaning it's free to use but any contributions should respect the open-source nature.; - Familiarity with graph databases and temporal data management concepts can help leverage the full potential of Graphiti in AI agent development.; 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: llms, graph; Also covers AI Agents; graphiti ships Docker support for self-hosted deployment; - When developing interactive applications where the context graph needs to evolve dynamically based on user interactions and external information.

When should I choose PageIndex over graphiti?

Choose PageIndex over graphiti when License: PageIndex is MIT, graphiti is Apache-2.0; Requirements: PageIndex operates independently of vector databases, and it does not require Docker. However, specific resource requirements depend on the scale of documents.; 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: llm, reasoning, agentic-ai, information-retrieval; - When handling long professional documents that require deep contextual understanding and multi-step reasoning where traditional similarity searches fall short.

When should I avoid graphiti?

- If your application requires only a static snapshot of the knowledge graph at a given point in time. - For use cases where data does not change rapidly or significantly over time, making the tracking of temporal validity windows unnecessary. - When you prefer traditional retrieval-augmented generation (RAG) methods without support for incremental updates and efficient historical queries.

When should I avoid PageIndex?

- If your application relies on quick, chunk-based indexing as PageIndex constructs a hierarchical tree index which could be slower for small documents or real-time applications. - In scenarios where you already have an established and optimized vector database infrastructure that performs well for your retrieval needs.

Is graphiti or PageIndex more popular on GitHub?

PageIndex has more GitHub stars (33,874 vs 28,498). 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 /tools/getzep-graphiti/alternatives and /tools/vectifyai-pageindex/alternatives (/tools/getzep-graphiti/alternatives.md, /tools/vectifyai-pageindex/alternatives.md), ranked by typed relationship edges rather than popularity votes.

Is there a machine-readable version of this comparison?

Yes. The markdown twin at /compare/getzep-graphiti-vs-vectifyai-pageindex.md 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: /tools/getzep-graphiti/trust; PageIndex: /tools/vectifyai-pageindex/trust.