embeddings

Vector embeddings with HNSW indexing, sql.js persistence, and hyperbolic support. 75x faster with agentic-flow integration. Use when: semantic search, pattern matching, similarity queries, knowledge retrieval. Skip when: exact text matching, simple lookups, no semantic understanding needed.

1.60x

Quality

73%

Does it follow best practices?

Impact

74%

1.60x

Average score across 3 eval scenarios

Securityby

Passed

No findings from the security scan

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Run	Type	Date	Status
baseline vs usage-spec With / without context 7 months ago Completed	With / without context	7 months ago	Completed

Eval run

019cc4ab-4b41-75bf-8e8f-4fe26a282807

Run 7 months ago

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Repository: ruvnet/ruflo
Path: .agents/skills/embeddings/SKILL.md
Commit: b14c79e

Evaluated: 7 months ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Developer Documentation Search System Architecture Pattern Knowledge Store Memory-Efficient Document Embedding Pipeline for Edge Deployment

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