vector-search
Vector search via embeddings_* (large-scale HNSW) and ruvllm_hnsw_* (WASM router for ≤11 hot patterns), with RaBitQ 1-bit quantization for 32× memory reduction
Best for large-scale similarity sear…Works with GitHubLow risk
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@ruvnet- repo
- ruvnet/ruflo
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- TypeScript
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May 5, 2026
✦overview.md
Key Features
- ·Two distinct vector-search paths
- ·Large-scale HNSW for millions of vectors
- ·Hot-path WASM router for ≤11 patterns
- ·RaBitQ 1-bit quantization, 32× memory reduction
- ·150×–12,500× speedup over brute-force
Use Cases
- →Searching large corpora with embedding similarity
- →High-speed routing decisions using pre-indexed patterns
- →Memory-constrained deployments needing quantization
- →Comparing or initializing embedding indices
Best for
- ✓large-scale similarity search
- ✓low-latency pattern routing
Not ideal for
- !general-purpose database queries
name
vector-search
description
Vector search via embeddings_* (large-scale HNSW) and ruvllm_hnsw_* (WASM router for ≤11 hot patterns), with RaBitQ 1-bit quantization for 32× memory reduction
argument-hint:<query> [--limit N] [--quantized]
allowed-tools:mcp__claude-flow__embeddings_generate mcp__claude-flow__embeddings_search mcp__claude-flow__embeddings_compare mcp__claude-flow__embeddings_init mcp__claude-flow__embeddings_status mcp__claude-flow__embeddings_hyperbolic mcp__claude-flow__embeddings_neural mcp__claude-flow__embeddings_rabitq_build mcp__claude-flow__embeddings_rabitq_search mcp__claude-flow__embeddings_rabitq_status mcp__claude-flow__ruvllm_hnsw_create mcp__claude-flow__ruvllm_hnsw_add mcp__claude-flow__ruvllm_hnsw_route mcp__claude-flow__memory_search_unified Bash
Vector Search
Two distinct vector-search paths live in this plugin. Pick the right one — they're not interchangeable.
| Path | Tool family | Backing | Capacity | Latency |
|---|---|---|---|---|
| Large-scale corpus | embeddings_* | @claude-flow/memory HNSW (Rust/Native) | up to millions of vectors | 150×–12,500× faster than brute-force, depending on N and parameters |
| Hot-path router | ruvllm_hnsw_* | WASM-backed router (v2.0.1) | ~11 patterns max (ruvllm-tools.ts:58) | sub-ms; designed for high-priority routing, not corpus search |
The "12,500×" headline applies to the large-scale embeddings_search path. The WASM router is not that path.
When to use
| Need | Path |
|---|---|
| Search a corpus of N ≥ 500 documents | embeddings_search |
| Memory-constrained corpus (≥5,000 vectors) | RaBitQ quantized — see "Quantized search" below |
| Compare two strings | embeddings_compare |
| Hierarchical / taxonomic data | embeddings_hyperbolic (Poincare ball) |
| Route a query to one of ≤11 hot patterns | ruvllm_hnsw_route |
| Cross-namespace search | memory_search_unified |
Standard search
$install
1-click copynpx skills add ruvnet/ruflo --skill vector-searchSafety assessment
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mediumPartially actionable with several concrete steps, but still missing important details.