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Vector Db
ASecurityIndex setups, embeddings models, distances metrics, and cosine similarity.
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- Added September 10, 2026
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[](https://www.skillsdirectory.com/skills/rahulchaube1-vector-db)---
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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