MaxKB vs Pathway
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
MaxKB RAG | Pathway RAG | |
|---|---|---|
| Tagline | Open-source enterprise RAG and agent platform with built-in workflow engine and multi-LLM support. | Live data framework for production RAG and streaming ETL pipelines in Python. |
| Category | RAG | RAG |
| Pricing | Freemium· Community edition free (GPLv3); paid enterprise edition | 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 | enterprise-knowledge-basecustomer-support-botsinternal-qaagent-workflowsdocument-rag | live-ragstreaming-etldocument-indexingmultimodal-raganomaly-detection |
| Pros |
|
|
| Cons |
|
|
| Website | maxkb.cn | pathway.com |
Pick MaxKB if
- ✅ Self-hostable via single Docker container with pgvector built in
- ✅ Works with both commercial APIs and local OSS models (DeepSeek, Llama, Qwen)
- ✅ Visual workflow engine and MCP tool-use without writing code
- ✅ Active project with 20k+ GitHub stars and GPLv3 license
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