32 lines
1007 B
Markdown
32 lines
1007 B
Markdown
---
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title: "Semantic Memory Search"
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type: source
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tags: [OpenClaw, Semantic Search, memsearch, Milvus, Vector DB]
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sources: ["https://github.com/zilliztech/memsearch"]
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date: 2026-04-14
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---
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## Summary
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- 核心主题:语义记忆搜索
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- 问题域:如何在 OpenClaw 增长的 markdown 记忆中语义检索
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- 方法/机制:memsearch + Milvus 向量数据库,混合搜索 + BM25 + RRF 重排
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- 结论/价值:SHA-256 内容哈希,零浪费 API 调用
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## Key Claims
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- 向量搜索 + BM25 全文搜索混合,RRF 重排
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- SHA-256 内容哈希,未更改文件永不重嵌入
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- 文件监视器自动重索引,索引始终最新
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- 支持 OpenAI/Google/Voyage/Ollama/完全本地嵌入
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## Key Concepts
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- [[Semantic Memory Search]]:语义记忆搜索
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- [[memsearch]]:向量搜索工具
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- [[Hybrid Search]]:混合搜索
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## Connections
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- [[OpenClaw]] ← 数据源 ← [[Semantic Memory Search]]
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- [[Milvus]] ← 向量数据库 ← [[Semantic Memory Search]]
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## Contradictions
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- 尚未发现
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