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Weaviate

AI-native vector database designed for developers, enabling RAG, semantic search, and AI agents with scalable and production-ready features.

Introduction

Weaviate: The AI-Native Vector Database

Weaviate is a production-grade vector database built specifically for AI applications. It offers:

Key Features
  • Vector Search & RAG: Supports pure vector, semantic, and hybrid search capabilities
  • Multi-Language Support: SDKs for Python, Go, TypeScript, JavaScript, plus GraphQL and REST APIs
  • AI Integration: Built-in embedding services and seamless ML model integration
  • Database Agents: Pre-built agents for automated data interaction and enhancement
  • Enterprise-Ready: Supports RBAC, SOC 2, HIPAA compliance
  • Scalable Architecture: Handles billion-scale workloads with cost optimization
Deployment Options
  • Serverless Cloud
  • Enterprise Cloud
  • Bring Your Own Cloud
Use Cases
  • AI-Powered Search
  • Retrieval Augmented Generation (RAG)
  • Agentic AI Applications
  • Large-scale AI Data Management

Perfect for developers building production AI applications who need reliable, scalable vector search capabilities without complex infrastructure management.

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