{
  "id": "tool:weaviate",
  "_kind": "Tool",
  "_file": "domain/tools/memory-systems.yaml",
  "_cluster": "domain",
  "attributes": {
    "displayName": "Weaviate",
    "homepageUrl": "https://weaviate.io",
    "kind": "other",
    "description": "AI-native vector search engine that combines vector, keyword, and\nhybrid search with built-in vectorization modules for text, images,\nand multi-modal data. Supports GraphQL and REST APIs, multi-tenancy,\nfiltering, and horizontal scaling. Weaviate's generative search\nmodules can pipe retrieved context directly into LLM prompts,\nmaking it a production-grade backend for RAG architectures.\n"
  },
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      "kind": "tool_used_by",
      "attributes": {}
    },
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      "kind": "alternative_to",
      "attributes": {
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      }
    },
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      }
    },
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      }
    },
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      "kind": "alternative_to",
      "attributes": {
        "comparison": "Vector databases — both production-grade, Milvus focuses on scale"
      }
    }
  ],
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      }
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}