Vector Databases and Retrieval Data Engineering
Completed by Indiana Jeremy teremiti Tempié
August 24, 2026
21 hours (approximately)
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What you will learn
1.Explain how embeddings and vector retrieval differ from keyword search.
2.Design metadata-rich vector schemas and embedding pipelines.
3.Evaluate retrieval systems using recall, latency, and drift signals.
4. Apply security and governance controls to vector retrieval systems.
Skills you will gain
- Category: Data Engineering
- Category: Record Keeping
- Category: Data Integrity
- Category: Embeddings
- Category: Software Documentation
- Category: Document Management
- Category: Data Maintenance
- Category: Large Language Modeling
- Category: Retrieval-Augmented Generation
- Category: Data Store
- Category: Vector Databases
- Category: Data Architecture
