vector-index-tuning
vector-index-tuning is a RAG & retrieval skill for AI agents, published by JeffGreen311 in the eve-agent-v2-unleashed repository on GitHub. Skillspace rates vector-index-tuning D (63/100) and it passed the safety scan; the rating is based on static analysis only.
Optimize vector index performance for latency, recall, and memory. Use when tuning HNSW parameters, selecting quantization strategies, or scaling vector search infrastructure.
- Grade
- D
- Quality
- 63 / 100
- Safety
- Passed
- GitHub stars
- 39
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 90 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 16 other repositories, in 13 collections
- Scope
- Portable: works in any project. General vector index tuning concepts, not one product
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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