OneKE vs Pathway

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

	OneKE RAG	Pathway RAG
Tagline	Open-source multi-agent framework for schema-guided knowledge extraction from documents.	Live data framework for production RAG and streaming ETL pipelines in Python.
Category	RAG	RAG
Pricing	Free· Free, MIT-licensed; you pay for LLM API calls or self-hosted compute	Freemium· Community free (BSL 1.1, 8GB/4 cores); Scale and Enterprise tiers with license key
Model	Multi-model (OneKE-13B, LLaMA3, Qwen2.5, GPT, DeepSeek-R1)	Multi-model
Editorial score	7.2 / 10	7.3 / 10
Use cases	knowledge-graph-constructionnamed-entity-recognitionrelation-extractionevent-extractiondocument-parsing	live-ragstreaming-etldocument-indexingmultimodal-raganomaly-detection
Pros	Covers NER, RE, EE, and triple extraction in one framework Works with API models or fully local LLMs via vLLM Ingests PDF, Word, HTML, JSON, and plain text out of the box Multi-agent schema + reflection loop improves extraction quality MIT license with Docker and Streamlit UI included	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	Documentation is primarily Chinese and scattered across Yuque/GitHub Self-hosting and tuning agents is non-trivial for non-researchers No managed cloud offering; you bring the infrastructure Quality depends heavily on the underlying LLM you wire in	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	openspg.yuque.com	pathway.com

Pick OneKE if

✅ Covers NER, RE, EE, and triple extraction in one framework
✅ Works with API models or fully local LLMs via vLLM
✅ Ingests PDF, Word, HTML, JSON, and plain text out of the box
✅ Multi-agent schema + reflection loop improves extraction quality

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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