📖 The AI Tool Bible

Pathway vs Weaviate

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

 
Pathway
RAG
Weaviate
RAG
TaglineLive data framework for production RAG and streaming ETL pipelines in Python.Open-source vector DB with hybrid search and modules.
CategoryRAGRAG
PricingFreemium· Community free (BSL 1.1, 8GB/4 cores); Scale and Enterprise tiers with license keyFreemium· Free open-source; cloud from $25/mo
ModelMulti-modelHosted vector DB (not an LLM)
Editorial score—8.4 / 10
Use cases
live-ragstreaming-etldocument-indexingmultimodal-raganomaly-detection
self-hosted RAGhybrid search
Pros
  • 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
  • Hybrid search built in
  • Self-host or cloud
  • Module ecosystem
  • GraphQL + REST APIs
Cons
  • 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
  • More ops than Pinecone if self-hosted
  • Smaller community
Websitepathway.comweaviate.io
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 Weaviate if
  • ✅ Hybrid search built in
  • ✅ Self-host or cloud
  • ✅ Module ecosystem
  • ✅ GraphQL + REST APIs
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