Chunking for beginners: 3 simple techniques in RAG systems @Weaviate
Chunking for beginners: 3 simple techniques in RAG systems  @Weaviate
Uploaded September 2025 | Updated September 2026, 3 hours ago
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: 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
youtube.com/watch?v=buzWGXOydD8

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Chunking for beginners: 3 simple techniques in RAG systems

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