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Pathway Live Data Framework vs Ragen

Both stand on retrieval-augmented generation tools. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Pathway Live Data Framework

Free plan APISelf-hosted

Choose Pathway if you need Python or SQL pipelines that combine live data processing with analytics or AI tooling. Community is free within its self-hosted resource limits; deployments needing more capacity can look at Scale or Enterprise, with Enterprise pricing available through licensing rather than a published price.

Visit Pathway Live Data Framework

Ragen

Free plan APISelf-hostedWeb

Ragen offers document-based answers with citations and per-file access checks in a self-hosted setup. Its free plan has no licence fees, but customers cover infrastructure and model costs.

Visit Ragen

The facts

Pathway Live Data FrameworkRagen
Free planYesYes
Open sourceNot publishedNot published
Runs onAPI, Self-hostedAPI, Self-hosted, Web
Lowest paid planFree or on requestFree or on request
Plans published32
MakerNot publishedNot published
Websitepathway.comragen.ai
On retrieval-augmented generation tools#15 of 26#19 of 26

Pathway Live Data Framework: what it does well

  • One pipeline can process static data and live streams.
  • Supports Python and SQL programming APIs.
  • Includes 350+ connectors and custom connector development.
  • Can save computation state for recovery after failures or updates.
  • Supports Docker and Kubernetes deployment.

What to know first

  • Community is limited to 8 GB RAM and 4 cores.
  • Scale requires a license key and is limited to 16 GB RAM and 4 cores.
  • Scale license keys send anonymized usage data to Pathway.
  • Enterprise pricing is not published.

Ragen: what it does well

  • Answers cite sources in company documents and tools.
  • Separate assistants can serve different departments.
  • File and folder permissions apply to agent answers.
  • Data stays within the customer’s own infrastructure.

What to know first

  • Self-hosted customers pay for infrastructure and models.
  • BaseLinker and KSeF are not yet available.
  • Self-hosted support is documentation and community support.

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