Graphify vs Pathway

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

	Graphify RAG	Pathway RAG
Tagline	Open-source on-device knowledge graph engine that turns code, docs, papers, meetings and images into a queryable graph.	Live data framework for production RAG and streaming ETL pipelines in Python.
Category	RAG	RAG
Pricing	Free· MIT-licensed, free forever; cloud tier hinted but unpriced (waitlist)	Freemium· Community free (BSL 1.1, 8GB/4 cores); Scale and Enterprise tiers with license key
Model	Multi-model	Multi-model
Editorial score	7.0 / 10	7.3 / 10
Use cases	knowledge-graphcode-searchpersonal-memoryresearch-recallmeeting-intelligence	live-ragstreaming-etldocument-indexingmultimodal-raganomaly-detection
Pros	MIT-licensed and runs fully on-device — no data leaves your machine Incremental updates: only changed nodes/edges re-process, scales to millions of files Ingests broad input set: code/AST, docs, papers, meetings, browser history, images Explicit graph beats opaque vector retrieval for traceable, multi-hop questions	Genuinely live indexing - documents update without rebuild jobs Self-hosted under BSL 1.1, no data leaves your infra Rich connector library (Kafka, S3, SharePoint, Postgres, Delta Lake) Same pipeline handles batch and streaming 20+ production-ready templates including multimodal and adaptive RAG
Cons	Waitlist / early-access — not generally available yet Cloud tier and any paid plan are unpriced and undefined Marketing-heavy site with limited technical depth on indexing/query API On-device builds at corpus scale will demand serious local compute	Steeper learning curve than prompt-chain frameworks BSL is not OSI-approved - commercial restrictions apply at scale Smaller community than LangChain/LlamaIndex Pricing for Scale/Enterprise tiers not transparent
Website	graphifylabs.ai	pathway.com

Pick Graphify if

✅ MIT-licensed and runs fully on-device — no data leaves your machine
✅ Incremental updates: only changed nodes/edges re-process, scales to millions of files
✅ Ingests broad input set: code/AST, docs, papers, meetings, browser history, images
✅ Explicit graph beats opaque vector retrieval for traceable, multi-hop questions

Pick Pathway if

✅ Genuinely live indexing - documents update without rebuild jobs
✅ Self-hosted under BSL 1.1, no data leaves your infra
✅ Rich connector library (Kafka, S3, SharePoint, Postgres, Delta Lake)
✅ Same pipeline handles batch and streaming

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