Lead AI

LlamaIndex vs Weaviate

Compare these two SDK tools side-by-side to find the best fit for your project.

LlamaIndex

LlamaIndex

SDK
8/10

Data framework for building retrieval-heavy AI systems with connectors, indexing, reranking, agent workflows, and enterprise search patterns.

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Weaviate

Weaviate

Database
7.5/10

AI-first vector database for search, RAG, and agents with hybrid retrieval, model-provider integrations, automatic embeddings, and deploy-anywhere enterprise options.

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Quick Verdict

Choose LlamaIndex if:

  • Easy Setup
  • Developer API
  • Active Community

Choose Weaviate if:

  • Similarity Search
  • RAG Pipeline Support
  • Metadata Filtering

Feature Comparison

FeatureLlamaIndexWeaviate
CategorySDKDatabase
Pricing ModelUsage-BasedFreemium
Starting Price$500/mo$20/mo
Rating8/107.5/10
ComplexityIntermediateIntermediate
AI ModelsLlamaGemini
IntegrationsOpenAI, LangChainGitHub, Google Cloud, Azure, Docker, Kubernetes
Best ForDevelopers building RAG applications with sophisticated data ingestion, indexing, and query strategies.AI teams building multi-modal search applications with an open-source vector database and built-in vectorization.

LlamaIndex

Pros

  • Easy Setup
  • Developer API
  • Active Community
  • Regular Updates

Considerations

  • May require setup time
  • Check pricing for your scale

Weaviate

Pros

  • Similarity Search
  • RAG Pipeline Support
  • Metadata Filtering
  • Scalable Indexing

Considerations

  • May require setup time
  • Check pricing for your scale
View LlamaIndex DetailsView Weaviate Details

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