WeaviatevsFlowise

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

Weaviate

Vector Databases

Open-source vector database with built-in AI modules

Flowise

Automation Platforms

Drag-and-drop LLM flow builder

FeatureWeaviateFlowise
CategoryVector DatabasesAutomation Platforms
PricingFree (open-source) + CloudFree (open-source) + Cloud
GitHub Stars
12k
More stars
35k
PlatformsLinux, Docker, WebmacOS, Linux, Windows, Docker
Key Features
  • Vector search
  • Hybrid search
  • AI modules
  • GraphQL
  • Multi-tenancy
  • Visual flow builder
  • LangChain integration
  • Chatbot builder
  • Agent flows
  • API endpoints
  • Custom tools
Pros
  • + Built-in AI modules
  • + Hybrid search capability
  • + GraphQL API
  • + Multi-tenancy
  • + Active development
  • + No-code visual builder
  • + LangChain/LlamaIndex integration
  • + Easy deployment
  • + Good for prototyping
  • + Active community
Cons
  • Complex configuration
  • Resource heavy
  • Cloud pricing unclear
  • Smaller community than Pinecone
  • Limited for complex custom logic
  • Can be buggy with some nodes
  • Documentation gaps
  • Less flexible than code
Tags
vector-dbsearchgraphqlopen-source
open-sourceno-codelangchainchatbotvisual

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