Memory Search (SOTA)
Skill Verified ActiveSOTA semantic search — hybrid (sparse+dense), Graph RAG multi-hop, MMR diversity reranking, recency weighting
To enable advanced, multi-strategy semantic search and knowledge retrieval from agent memory, improving the accuracy and relevance of information accessed.
Features
- 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
Use Cases
- Finding relevant information for complex reasoning tasks.
- Retrieving diverse results for broad queries.
- Prioritizing recent information in search results.
- Searching across different memory namespaces.
Non-Goals
- Performing actions or modifying memory content.
- Providing a general-purpose natural language interface.
- Executing arbitrary code or external scripts.
Workflow
- Parse query and flags
- Select retrieval strategy (dense, hybrid, graph-rag, smart)
- Apply MMR reranking
- Apply recency weighting
- Synthesize context (for complex queries)
- Present results
Installation
First, add the marketplace
/plugin marketplace add ruvnet/ruflo/plugin install ruflo-rag-memory@rufloQuality Score
VerifiedTrust Signals
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