Index setups, embeddings models, distances metrics, and cosine similarity.
Scanned 9/10/2026
Install to Claude Code
npx -y skills add Rahulchaube1/Rahul-Chaube-Skills --skill vector-db --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: vector-db
description: Index setups, embeddings models, distances metrics, and cosine similarity.
---
# Vector Db
Index setups, embeddings models, distances metrics, and cosine similarity.
## Core Guidelines
- **Index Optimization**: Use HNSW indices for faster similarity searches.
- **Metric Match**: Ensure the query metric (Cosine, L2, Dot Product) matches the embedding training parameters.
- **Metadata Filters**: Apply metadata pre-filtering to scope queries efficiently.
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