Chunking for beginners: 3 simple techniques in RAG systems

Weaviate vector database ยท Beginner ยท๐Ÿ” RAG & Vector Search ยท8mo ago
Skills: RAG Basics80%
Why does every RAG pipeline start with chunking? Because chunking defines what your vectors mean. At its core, ๐—ฐ๐—ต๐˜‚๐—ป๐—ธ๐—ถ๐—ป๐—ด is the preprocessing step of splitting texts into smaller pieces - and each chunk becomes the unit of information that gets vectorized and stored in your vector database. In this short video, Femke breaks down simple chunking methods โ€” token, sentence, and document-based. ๐Ÿ‘‰ย Get your copy of the free advanced RAG ebook: https://weaviate.io/ebooks/advanced-rag-techniques?utm_source=youtube&utm_campaign=rag&utm_content=680991368 Chapters: 00:00:00 - Why Large Docs Challenge AI Models 00:00:17 - Token-Chunking 00:00:29 - Sentence-Chunking for Better Context 00:00:45 - Document-Based Chunking Benefits & Limits 00:01:03 - Combining Chunking Methods 00:01:09 - Smarter Chunking Approaches 00:01:18 - Next Steps & Additional Resources Paper review video: Late chunking improves context recall in RAG pipelines https://www.youtube.com/watch?v=buzWGXOydD8 โ–ฌโ–ฌโ–ฌโ–ฌโ–ฌโ–ฌโ–ฌโ–ฌโ–ฌโ–ฌโ–ฌโ–ฌ CONNECT WITH US โ–ฌโ–ฌโ–ฌโ–ฌโ–ฌโ–ฌโ–ฌโ–ฌโ–ฌโ–ฌโ–ฌโ–ฌ - 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/
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Chapters (7)

Why Large Docs Challenge AI Models
0:17 Token-Chunking
0:29 Sentence-Chunking for Better Context
0:45 Document-Based Chunking Benefits & Limits
1:03 Combining Chunking Methods
1:09 Smarter Chunking Approaches
1:18 Next Steps & Additional Resources
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