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Day 250: Embeddings & Semantic Search in Code — Deep Dive
Learn Embeddings & Semantic Search in Code through troubleshooting & edge cases, guided resources, practical work and a portfolio-ready outcome.
Learning objectives
Understand the topic
Explain Embeddings & Semantic Search in Code clearly, connect it to the AI API Concepts phase, and identify one limitation or risk.
Apply the skill
Use OpenAI API and LangChain (light) to produce a small, reviewable result that demonstrates the concept.
Study plan and official resources
Portfolio practice
Support email classifier with structured JSON output + eval set
Complete the work in a safe test environment, capture evidence, document decisions and record what you would improve in a second pass.