Chunking Methods for RAG

1. 1Apply fixed-size chunking by slicing text every N characters using the `fixed_size_chunking` function
2. 2Use sentence-based chunking with the `sentence_transformers` library to split text into individual sentences
3. 3Implement sliding window chunking to generate overlapping chunks of text
4. 4Utilize a library like `Docling` for PDF-to-text conversion and handle tables, headings, and paragraphs
5. 5Evaluate the performance of different chunking methods using a retrieval benchmark
6. 6Experiment with other chunking methods such as graph-based or semantic chunking

Machine learning engineers and NLP specialists building RAG pipelines can benefit from this article to optimize their retrieval performance

💡 Choosing the right chunking method can significantly impact the performance of your RAG pipeline

Boost your RAG pipeline's performance with 7 chunking methods!