WeaviatevsLlamaIndex

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

LlamaIndex

Data & ETL

Featured

Data framework for connecting LLMs to external data

FeatureWeaviateLlamaIndex
CategoryVector DatabasesData & ETL
PricingFree (open-source) + CloudFree (open-source) + Cloud
GitHub Stars
12k
More stars
38k
PlatformsLinux, Docker, WebLinux, macOS, Windows
Key Features
  • Vector search
  • Hybrid search
  • AI modules
  • GraphQL
  • Multi-tenancy
  • RAG pipelines
  • Data connectors
  • Indexing
  • Query engine
  • Agent tools
Pros
  • + Built-in AI modules
  • + Hybrid search capability
  • + GraphQL API
  • + Multi-tenancy
  • + Active development
  • + Best-in-class RAG framework
  • + 100+ data connectors
  • + Multiple index types
  • + Great documentation
  • + Active community
Cons
  • Complex configuration
  • Resource heavy
  • Cloud pricing unclear
  • Smaller community than Pinecone
  • Can be complex for simple use cases
  • Abstractions hide complexity
  • Learning curve for advanced features
  • Some features require LlamaCloud
Tags
vector-dbsearchgraphqlopen-source
ragdataindexingopen-source

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