Home › No-Code Path › Day 151
Day 151: Vector Databases Conceptually: Embeddings & Similarity
Learn Vector Databases Conceptually: Embeddings & Similarity through concepts & mental models, 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
Departmental knowledge assistant: 50+ docs, citations, access notes
Complete the work in a safe test environment, capture evidence, document decisions and record what you would improve in a second pass.