Pathway vs Rayyan
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
Pathway RAG | Rayyan RAG | |
|---|---|---|
| Tagline | Live data framework for production RAG and streaming ETL pipelines in Python. | AI-assisted systematic review platform for screening, deduplicating, and extracting data from large literature corpora. |
| Category | RAG | RAG |
| Pricing | Freemium· Community free (BSL 1.1, 8GB/4 cores); Scale and Enterprise tiers with license key | Freemium· Free forever for basic use; enterprise custom pricing |
| Model | Multi-model | — |
| Editorial score | 7.3 / 10 | 7.3 / 10 |
| Use cases | live-ragstreaming-etldocument-indexingmultimodal-raganomaly-detection | systematic-reviewliterature-screeningdeduplicationdata-extractionmeta-analysisresearch-collaboration |
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| Website | pathway.com | rayyan.ai |
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
Pick Rayyan if
- ✅ Purpose-built for systematic reviews, not retrofitted from a generic tool
- ✅ Handles up to 200,000 references with robust deduplication
- ✅ AI prioritization meaningfully cuts manual screening time
- ✅ Free tier is genuinely usable for solo researchers