Weaviate API

```json
{
  "service_type": "platform",
  "base_url": "https://weaviate.io",
  "auth_method": "api_key",
  "auth_config": {
    "api_key_header": "Authorization",
    "supports_oidc": true,
    "rbac_available": true
  },
  "endpoints": [
    {
      "path": "/v1/objects",
      "method": "POST",
      "description": "Create objects with vectors"
    },
    {
      "path": "/v1/objects/{id}",
      "method": "GET",
      "description": "Retrieve object by ID"
    },
    {
      "path": "/v1/graphql",
      "method": "POST",
      "description": "GraphQL query interface (legacy)"
    },
    {
      "path": "/v1/schema",
      "method": "GET",
      "description": "Get database schema"
    }
  ],
  "pricing_model": {
    "type": "freemium",
    "details": {
      "self_hosted": "Open source, free",
      "cloud": "Free trial (2 weeks, renewable), then usage-based pricing",
      "tiers": ["Free Trial", "Serverless", "Enterprise"]
    }
  },
  "rate_limits": {
    "note": "Varies by plan and instance size",
    "cloud_managed": true
  },
  "capabilities": [
    "Vector database with hybrid search",
    "Semantic and keyword (BM25) search combined",
    "Multi-tenant architecture support",
    "Built-in embeddings (weaviate-embeddings)",
    "20+ third-party embedding integrations",
    "Production-ready scaling and replication",
    "RBAC with collection and tenant-level permissions",
    "RAG (Retrieval Augmented Generation) support",
    "Query Agent for turnkey RAG",
    "Engram for agent memory (preview)",
    "Auto-schema detection",
    "Advanced filtering and sorting",
    "Real-time data ingestion",
    "Cross-modal search capabilities",
    "GraphQL and gRPC APIs",
    "Python, TypeScript, Go, Java, C# SDKs"
  ],
  "raw_analysis": "Weaviate is an open-source vector database that positions itself as a primary database for AI-native applications, not just a secondary vector store. The platform offers three main deployment options: Weaviate Cloud (fully managed DBaaS), self-hosted Docker/Kubernetes, and compiled from source.\n\nKey differentiators include hybrid search combining semantic and keyword search out-of-the-box, advanced filtering capabilities with ACORN query planning, and first-class multi-tenancy support making it ideal for SaaS applications. The platform includes built-in embeddings (weaviate-embeddings) eliminating the need for third-party API keys.\n\nThe Weaviate stack extends beyond the core database to include Query Agent for turnkey RAG implementations, Engram for agent memory management, and various agent plugins and cookbooks for end-to-end applications.\n\nArchitecturally, it uses HNSW with RQ8 quantization for vector indexing, LSM storage for objects and inverted indexes, and Roaring bitmaps for set-style filters. The platform supports horizontal scaling via sharding and offers zero-downtime operations on Weaviate Cloud.\n\nTarget use cases include applications requiring hybrid search, complex filtering/sorting, multi-tenant SaaS platforms, production-ready vector databases, RAG implementations, and enterprise deployments needing granular access control. It's designed to complement rather than replace OLTP databases like Postgres for transactional workloads.\n\nThe platform has evolved significantly from its GraphQL origins to modern gRPC-based clients, with auto-schema capabilities reducing configuration overhead. Weaviate Cloud is the recommended starting point for most teams due to its zero-ops nature and automatic scaling capabilities."
}
```

3/3 tests passed

{"multi_model": true, "models_used": ["openai", "claude_cli"], "model_scores": {"GPT-4o": {"overall": 87, "dimensions": {"token_efficiency": 9.0, "first_try_success": 8.5, "response_parseability": 9.5, "error_clarity": 8.0, "doc_quality": 8.5, "auth_simplicity": 8.0, "latency": 9.5, "consistency": 8.5}}, "Claude CLI": {"overall": 84, "dimensions": {"token_efficiency": 8.5, "first_try_success": 8.0, "response_parseability": 9.5, "error_clarity": 7.5, "doc_quality": 8.5, "auth_simplicity": 7.5, "latency": 9.0, "consistency": 8.5}}}, "averaged": true}