35 lines
878 B
JavaScript
35 lines
878 B
JavaScript
// MongoDB Atlas Vector Search Index Creation Script
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// 为swarm辩论系统创建向量索引
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// 连接到数据库
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use('taigong');
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// 创建向量索引用于语义搜索和内容聚类
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// 这个索引将支持swarm辩论系统的语义相似性匹配
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db.articles.createSearchIndex(
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"vector_search_index",
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{
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"fields": [
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{
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"type": "vector",
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"path": "embedding",
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"numDimensions": 1536, // OpenAI text-embedding-ada-002 维度
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"similarity": "cosine"
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},
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{
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"type": "filter",
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"path": "published_time"
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},
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{
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"type": "filter",
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"path": "title"
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}
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]
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}
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);
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print("向量索引创建完成！");
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print("索引名称: vector_search_index");
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print("向量维度: 1536 (OpenAI embedding)");
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print("相似性算法: cosine");
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print("支持过滤字段: published_time, title"); |