Pathway vs PrivateGPT
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
Pathway RAG | PrivateGPT RAG | |
|---|---|---|
| Tagline | Live data framework for production RAG and streaming ETL pipelines in Python. | Production-ready, air-gapped RAG framework for querying your documents with local LLMs. |
| Category | RAG | RAG |
| Pricing | Freemium· Community free (BSL 1.1, 8GB/4 cores); Scale and Enterprise tiers with license key | Freemium· OSS free; Zylon enterprise contract (contact sales) |
| Model | Multi-model | Multi-model (BYO local LLM) |
| Editorial score | 7.3 / 10 | 7.0 / 10 |
| Use cases | live-ragstreaming-etldocument-indexingmultimodal-raganomaly-detection | private-ragchat-with-documentson-premises-llmair-gapped-aienterprise-knowledge-base |
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| Website | pathway.com | www.zylon.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 PrivateGPT if
- ✅ Fully local and air-gapped; data never leaves your infrastructure
- ✅ OpenAI-compatible API makes integration straightforward
- ✅ Massive OSS community (57k+ stars) with proven deployments
- ✅ Model-agnostic across llama.cpp, Ollama, vLLM, and Qdrant