Individual skill
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
plugins/ruflo-agentdb/skills/vector-search/SKILL.md
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- agent-memory Repository topic
- agent-orchestration Repository topic
- agentic-ai Repository topic
- agentic-workflow Repository topic
- ai-agents Repository topic
- autonomous-agents Repository topic
- claude Repository topic
- claude-code Repository topic
- codex Repository topic
- hnsw Repository topic
- engineering Derived category
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# 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) | large corpora (measured here only at N=5k and N=20k) | ~1.9× at N=20k, ~3.2×–4.7× at N=5k vs brute-force (measured; recall@10 ≈ 0.99). ANN wins above the crossover |
| **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 speedups in the Performance section apply to the large-scale `embeddings_search` path (the older "12,500×" headline was a brute-force-fallback artifact and is retired). The WASM router is **not** that path.
## When to use
| Need | Path |