Weaviate

Open-source AI-native vector database for building and scaling AI applications with over 1M monthly downloads.

What is

Weaviate

?

Weaviate is the leading open-source vector database with over 1 million monthly downloads serving as a core component of the AI-native technology stack. The platform provides lightning-fast vector similarity search with support for hybrid search combining vector and keyword search capabilities. AI-native architecture includes built-in vectorization and model inference while supporting integration with major cloud providers and LLM frameworks. Trusted by enterprises and developers worldwide for building production-ready AI applications with robust scalability and performance.

Key Features
  • Vector similarity search
  • Hybrid search capabilities
  • Built-in vectorization modules
  • GraphQL API interface
  • Multi-tenant architecture
  • Cloud and self-hosted deployment
  • Integration with major ML frameworks
  • Real-time data ingestion
Pricing
  • Open source: Free
  • Weaviate Cloud: Pay-as-you-scale
  • Enterprise: Custom pricing
  • Professional support available
Pros:
  • Open-source with strong community
  • High performance and scalability
  • Comprehensive integration ecosystem
  • Developer-friendly documentation
  • Flexible deployment options
  • Cost-effective compared to alternatives
Cons:
  • Open-source with strong community
  • High performance and scalability
  • Comprehensive integration ecosystem
  • Developer-friendly documentation
  • Flexible deployment options
  • Cost-effective compared to alternatives
Who is it for?
  • AI engineers and developers
  • Data scientists and ML engineers
  • Enterprise development teams
  • Research and academic institutions
  • Technology startups
Best use cases
  • Semantic search applications
  • RAG (Retrieval Augmented Generation)
  • Recommendation systems
  • Knowledge base and Q&A systems
  • AI-powered content discovery
API Integrations
  • LangChain and LlamaIndex
  • OpenAI and Anthropic models
  • Google Cloud AWS Azure
  • Databricks and data platforms
  • Popular ML frameworks
Security

https://weaviate.io/developers/weaviate/more-resources/faq

Implementation
  • Open-source setup takes hours to days while cloud deployment is immediate with production optimization in 1-2 weeks.
Best Alternatives
  • https://pinecone.io
  • https://www.chroma.com
  • https://qdrant.tech
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