Graphiti

At a glance

• Editor score
  7.1 / 10
• Pricing
  Open source
• Best for
  Temporal knowledge-graph RAG
• Paid from
  Free
• Facts checked
  22 Sep 2026

• Where it wins

  • Tracks temporal facts with validity windows and source provenance
  • Combines semantic, BM25, graph traversal, and graph-distance reranking
  • Supports Neo4j, FalkorDB, Amazon Neptune, and Kuzu

• Where it doesn't

  • Self-hosted deployment puts infrastructure responsibility on your team
  • Requires developer work to model custom entities and relationships
  • Its focus on temporal graphs may exceed simpler RAG requirements

Our verdict on Graphiti

Graphiti is an open-source framework for developers building temporal knowledge graphs and context-aware AI agents. It continuously integrates structured and unstructured data, preserves temporal history and provenance, and supports incremental graph construction without batch recomputation. Teams choosing Graphiti are typically looking for RAG infrastructure that can represent changing facts, trace information back to source episodes, and combine graph context with conventional retrieval.

Its strongest differentiator is the retrieval and knowledge-modeling depth. Graphiti combines semantic embeddings, BM25 keyword search, graph traversal, and graph-distance reranking. Validity windows help represent when facts apply, while episode-based provenance supports source traceability. Developers can define custom entity and relationship types with Pydantic models, then expose episode, entity, relationship, and search operations through its MCP server or REST API service built with FastAPI.

Graphiti also fits teams that want control over their deployment and backend choices. It supports Neo4j, FalkorDB, Amazon Neptune, and Kuzu, along with OpenAI, Anthropic, Google Gemini, Groq, and OpenAI-compatible providers. The tradeoff is that Graphiti is self-hosted rather than a hosted SaaS product, so deployment and infrastructure remain part of the implementation. It is a good choice for engineering teams that need temporal facts, provenance, incremental graph updates, and hybrid retrieval; teams seeking a simpler managed RAG service may prefer a narrower tool.

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Graphiti pricing

Graphiti fact sheet

Graphiti integrations

Graphiti lists 9 integrations on its own site.

• Neo4j
• FalkorDB
• Amazon Neptune
• Kuzu
• OpenAI
• Anthropic
• Google Gemini
• Groq
• OpenAI-compatible providers

Alternatives to Graphiti

• Amazon Bedrock Knowledge BasesA deep, AWS-centered toolkit for production RAG over enterprise and structured data.9.3
• HaystackA modular Python framework for customizable RAG pipelines, agents, and semantic search.9.2
• LangChainA flexible foundation for developers building programmable RAG and agent applications.9.1

See all Graphiti alternatives →

Featured on iTechGuides

Graphiti is listed in our Retrieval-Augmented Generation Tools directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update