vector-index-tuning
vector index tuning
What it does
- Tuning HNSW parameters
- Implementing quantization
- Optimizing memory usage
- Reducing search latency
- Balancing recall vs speed
- Scaling to billions of vectors
- Benchmark with real queries - Synthetic may not represent production
Requirements & configuration
- Full template library and detailed worked examples live in references/details.md. Read that file when you need the concrete templates.
Derived from the skill's own SKILL.md documentation · extracted 2026-07-23
vector-index-tuning FAQ
What does the vector-index-tuning skill do?
Optimize vector index performance for latency, recall, and memory. Use when tuning HNSW parameters, selecting quantization strategies, or scaling vector search infrastructure. Tuning HNSW parameters Implementing quantization
What does vector-index-tuning require?
Full template library and detailed worked examples live in references/details.md. Read that file when you need the concrete templates.
How do I install vector-index-tuning?
Run: npx -y skills add https://github.com/wshobson/agents --skill vector-index-tuning --agent claude-code — the source lives at github.com/wshobson/agents.
Maintain vector-index-tuning?
Let people know it's listed here — add the badge (live metrics, light/dark aware) or a plain link to your README or docs.
[](https://getagentictools.com/skills/wshobson-agents-vector-index-tuning?ref=badge) npx agentictools info skills/wshobson-agents-vector-index-tuning The second line is the CLI lookup for this page — handy in READMEs and docs.
