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From ruflo-rag-memory
SOTA semantic search — hybrid (sparse+dense), Graph RAG multi-hop, MMR diversity reranking, recency weighting
npx claudepluginhub erfwn81/velora --plugin ruflo-rag-memoryHow this skill is triggered — by the user, by Claude, or both
Slash command
/ruflo-rag-memory:memory-search <query> [--hybrid] [--graph-rag] [--namespace NAME]<query> [--hybrid] [--graph-rag] [--namespace NAME]This skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
State-of-the-art semantic search across Ruflo memory with multiple retrieval strategies.
Mines projects and conversations into a searchable memory palace and retrieves past work via semantic search.
Guides Payload CMS config (payload.config.ts), collections, fields, hooks, access control, APIs. Debugs validation errors, security, relationships, queries, transactions, hook behavior.
Implements vector databases with Pinecone, Weaviate, Qdrant, Milvus, pgvector for semantic search, RAG, recommendations, and similarity systems. Optimizes embeddings, indexing, and hybrid search.
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State-of-the-art semantic search across Ruflo memory with multiple retrieval strategies.
Choose based on query type:
Parse query and flags — extract search text and strategy flags from arguments
Select retrieval strategy:
Dense search (default):
npx @claude-flow/cli@latest memory search --query "QUERY" --namespace NAMESPACE --limit 10
Or via MCP: mcp__claude-flow__memory_search({ query: "QUERY", namespace: "NAMESPACE", limit: 10 })
Hybrid search (when --hybrid or query has specific keywords):
npx ruvector search "QUERY" --hybrid --limit 10
Graph RAG (when --graph-rag or multi-hop reasoning needed):
npx ruvector search "QUERY" --graph-rag --limit 10
Smart retrieval (when --smart or complex recall needed):
npx @claude-flow/cli@latest memory search --query "QUERY" --smart --limit 10
Or via MCP: mcp__claude-flow__memory_search({ query: "QUERY", smart: true, limit: 10 })
Applies 5-phase pipeline: query expansion, RRF fusion, recency boost, MMR diversity, session round-robin. Best for: multi-session recall, temporal queries, diverse result sets.
Unified cross-namespace:
mcp__claude-flow__memory_search_unified({ query: "QUERY", limit: 10 })
Apply MMR reranking — for diverse results, filter near-duplicates (cosine > 0.92) while maximizing relevance
Apply recency weighting — boost recent entries with exponential decay (0.95/day)
Synthesize context (for complex queries):
mcp__claude-flow__agentdb_context-synthesize({ query: "QUERY", sources: ["patterns", "tasks", "solutions"] })
Present results — ranked by composite score (relevance * diversity * recency), with source namespace attribution
| Namespace | Best For |
|---|---|
patterns | "How did we handle X?" |
tasks | "What was the context for Y?" |
solutions | "How did we fix Z?" |
feedback | "What did the user prefer?" |
security | "Known vulnerabilities in..." |
| (omit) | Search all namespaces |