Embeddings & RAG Interview Questions for Developers | AI Interview Questions Part 3

🚀 Welcome to Part 3 of the AI Interview Questions series for Developers!
https://www.youtube.com/playlist?list=PLSa5ogXRgAnc

In this video, we continue from Question 17 and cover important concepts related to Embeddings, Vector Databases, Semantic Search, Similarity Search, and RAG.

These topics are extremely important for developers building modern AI applications and are frequently asked in Generative AI and RAG interviews.

📚 Questions Covered

✅ Question 17: What is an Embedding?

✅ Question 18: Why Do We Need Embeddings?

✅ Question 19: What is a Vector?

✅ Question 20: What is a Vector Database?

✅ Question 21: How is Semantic Search Different from Keyword Search?

✅ Question 22: What is Similarity Search?

✅ Question 23: What is RAG (Retrieval-Augmented Generation)?

✅ Question 24: Why Are Embeddings Important in RAG?

📺 Channel: Code with Neema

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Видео Embeddings & RAG Interview Questions for Developers | AI Interview Questions Part 3 канала Code with Neema