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Day 175: Week 25 Project: Vector Databases Conceptually
Learn Vector Databases Conceptually: Embeddings & Similarity through portfolio build session, 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
Weekly project
RAG architecture document: diagram, components, security, costs
Complete the work in a safe test environment, capture evidence, document decisions and record what you would improve in a second pass.