vector-index-tuning

Tune vector index parameters for latency, recall, and memory.

3|1|Updated Dec 30, 2025

Search Tags:#recall #latency #quantization #HNSW #vector-index

One-click install

npx skills add https://github.com/48Nauts-Operator/opencode-baseline --skill vector-index-tuning

Or copy as Structured Prompt for Agent▼

Please help me install this Agent Skill.
Skill: vector-index-tuning
Source: https://github.com/48Nauts-Operator/opencode-baseline/tree/main/.opencode/skill/llm-dev/vector-index-tuning
Command: npx skills add https://github.com/48Nauts-Operator/opencode-baseline --skill vector-index-tuning

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Optimize vector index performance for latency, recall, and memory.

Core Features & Use Cases

Index type selection (Flat, HNSW, IVF+PQ)
Tuning HNSW parameters (M, efConstruction, efSearch)
Quantization strategies (FP32/FP16/INT8/PQ/Bit)

Quick Start

Recommend HNSW parameters for 1M vectors with target recall 0.95.