RAG Explained in 60 Seconds | The Most Important AI Skill Right Now

RAG (Retrieval-Augmented Generation) is one of the most important skills in AI engineering today.

In this video, I break down the complete RAG pipeline step-by-step:

✅ Document chunking
✅ Semantic splitting and overlap
✅ Embeddings explained simply
✅ Vector databases (Pinecone, Weaviate, PGVector)
✅ Cosine similarity search
✅ Retrieving relevant context for LLMs
✅ How RAG improves AI accuracy

Most AI applications today rely on Retrieval-Augmented Generation to connect large language models with private data, company knowledge bases, PDFs, websites, and more.

If you're learning AI Engineering, LLMs, AI Agents, LangChain, Vector Databases, or Generative AI, understanding RAG is essential.

Comment "search" if you'd like the free lecture recommendation mentioned in the video.

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Видео RAG Explained in 60 Seconds | The Most Important AI Skill Right Now канала Duo Talks AI