MC09: Intro to Vector Embeddings and Vector Databases is a foundational masterclass under the AI Residency program designed to help participants understand how modern AI systems represent and retrieve information efficiently.

In this session, learners will explore the concept of vector embeddings and how text, images, and other data are transformed into numerical representations that capture meaning and context. The masterclass also introduces vector databases and their role in enabling fast, scalable similarity search—an essential component of Retrieval Augmented Generation (RAG) and modern AI applications. Participants will gain practical insight into how embeddings power search, recommendations, and intelligent retrieval systems.

This masterclass is part of the AI Residency.

✅ Join the new AI Residency cohort starting Jul 11 to build this end-to-end with guided support, project feedback, and a production-ready workflow—from data ingestion → indexing → retrieval → evaluation → deployment.

https://academy.decodingdatascience.com/airesidencyfasttrack