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Chunk Size in Retrieval-Augmented Generation (RAG) explained in under 60 seconds. Learn what "chunk size" means, how it affects retrieval quality, and why it matters when building production RAG systems. What you'll learn: A clear definition of chunk size in AI and RAG An intuitive mental model for thinking about chunk size A concrete example from real-world RAG pipelines How chunk size connects to context windows and chunking strategies Why choosing the right chunk size is critical for accuracy and latency Related videos on 1MinuteGlossary: Chunking in RAG Explained in 60 Seconds | What is Chunking in RAG? • Chunking in RAG Explained in 60 Seconds | ... Chunk Size vs Chunk Overlap in RAG Explained in 60 Seconds | AI Glossary • Chunk Size vs Chunk Overlap in RAG Explain... Context Window in LLMs Explained in 60 Seconds | What is Context Window? • Context Window in LLMs Explained in 60 Sec... Embeddings in AI Explained in 60 Seconds | What are Embeddings? • Embeddings in AI Explained in 60 Seconds |... Vector Databases Explained in 60 Seconds | What is a Vector Database? • Vector Databases Explained in 60 Seconds |... Chapters: 00:00 Intro 00:05 Plain-English Definition 00:13 Mental Model 00:36 Practical Example 00:58 Why Chunk Size Matters #ChunkSize #RagChunking #RetrievalAugmentedGeneration #AiGlossary #VectorSearch Watch Next: • Chunking in RAG Explained in 60 Seconds | ... Check out the other playlists: • Retrieval & Modern AI Systems Please post your questions below in the Comments -- I'll be happy to respond a.s.a.p. ------------------- Subscribe to get notified of our new videos: https://www.youtube.com/@1MinuteGloss... ------------------- Thank you for watching! If you found this video helpful, please give it a thumbs up and share it with your friends. chunk size chunk size in RAG RAG chunking retrieval augmented generation RAG tutorial vector search basics LLM context window AI glossary RAG pipelines vector databases embeddings in AI semantic search document chunking LLM retrieval machine learning terms ai interview preparation learning ai ai for beginners rag for beginners nlp concepts data chunks context length ai study guide ml glossary