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Day 163: Vector Databases Conceptually: Embeddings & Similarity — Deep Dive
Learn Vector Databases Conceptually: Embeddings & Similarity through applied workshop, guided resources, practical work and a portfolio-ready outcome.
Learning objectives
Understand the topic
Explain Vector Databases Conceptually: Embeddings & Similarity clearly, connect it to the Advanced AI & RAG phase, and identify one limitation or risk.
Apply the skill
Use Azure AI Foundry and Pinecone to produce a small, reviewable result that demonstrates the concept.
Study plan and official resources
Portfolio practice
Evaluation harness: 30 Q&A pairs, groundedness + relevance scoring
Complete the work in a safe test environment, capture evidence, document decisions and record what you would improve in a second pass.