Understanding late chunking in RAG systems (for beginners!)

Instead of splitting text first and losing context, late chunking embeds the entire document before chunking, preserving meaning and improving retrieval quality. In this short video, Femke dives into late chunking — a new approach to optimizing RAG pipelines and AI search. We’ll compare it to traditional and advanced chunking methods, show why it outperforms ColBERT in efficiency, and share how you can implement it in your own RAG applications. Chapters: 00:00 Introduction 00:00 Other Chunking Techniques and Their Pitfalls 00:57 How Late Chunking Works 👉 Get your copy of the free advanced RAG ebook: https://weaviate.io/ebooks/advanced-rag-techniques?utm_source=youtube&utm_medium=youtube&utm_campaign=rag&utm_content=video_post_268003094 📚 Blog post: Late Chunking: Balancing Precision and Cost in Long Context Retrieval https://weaviate.io/blog/late-chunking?utm_source=youtube&utm_medium=youtube&utm_campaign=chunking&utm_content=video_post_268012478 Other videos you might like 👇 Simple Chunking Techniques https://youtu.be/HJHSNVqQBJI Advanced Chunking Techniques https://youtu.be/CmmkNAUGin8 Paper review video: Late chunking improves context recall in RAG pipelines https://youtu.be/buzWGXOydD8 ▬▬▬▬▬▬▬▬▬▬▬▬ CONNECT WITH US ▬▬▬▬▬▬▬▬▬▬▬▬ - Visit http://weaviate.io/ - Star us on GitHub https://github.com/weaviate/weaviate - Stay updated and subscribe to our newsletter: https://newsletter.weaviate.io/ - Try out Weaviate Cloud Services for free here: https://console.weaviate.cloud/ Got a question? - Forum: https://forum.weaviate.io/ - Slack: https://weaviate.io/slack Connect with us on - Twitter: https://twitter.com/weaviate_io - LinkedIn: https://www.linkedin.com/company/weaviate-io/