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Memory Search (SOTA)

技能 已验证 活跃

SOTA semantic search — hybrid (sparse+dense), Graph RAG multi-hop, MMR diversity reranking, recency weighting

目的

To enable advanced, multi-strategy semantic search and knowledge retrieval from agent memory, improving the accuracy and relevance of information accessed.

功能

  • Hybrid sparse+dense semantic search
  • Graph RAG for multi-hop knowledge retrieval
  • MMR diversity reranking for varied results
  • Recency weighting to boost recent entries
  • Support for multiple namespaces and strategy selection

使用场景

  • Finding relevant information for complex reasoning tasks.
  • Retrieving diverse results for broad queries.
  • Prioritizing recent information in search results.
  • Searching across different memory namespaces.

非目标

  • Performing actions or modifying memory content.
  • Providing a general-purpose natural language interface.
  • Executing arbitrary code or external scripts.

工作流

  1. Parse query and flags
  2. Select retrieval strategy (dense, hybrid, graph-rag, smart)
  3. Apply MMR reranking
  4. Apply recency weighting
  5. Synthesize context (for complex queries)
  6. Present results

安装

请先添加 Marketplace

/plugin marketplace add ruvnet/ruflo
/plugin install ruflo-rag-memory@ruflo

质量评分

已验证
97 /100
about 21 hours ago 分析

信任信号

最近提交about 23 hours ago
星标50.2k
许可证MIT
状态
查看源代码

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