How to Chunk Text in JavaScript for Your RAG Application
Blog post from DataStax
Retrieval-augmented generation (RAG) applications require text data to be split into smaller chunks and prepared for use in a vector database like Astra DB. This process, called text chunking, is crucial for improving retrieval accuracy and creating more accurate and useful RAG systems. Several libraries are available in JavaScript for text chunking, including llm-chunk, LangChain, LlamaIndex, semantic-chunking, and the Unstructured API. Each library offers different features and capabilities, allowing developers to experiment with various options to find the best fit for their specific needs.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 9 | 4,030 | 486 | 147 | +1% |
| RAG | 8 | 1,966 | 260 | 82 | -21% |
| Vector Search | 5 | 3,701 | 290 | 90 | +59% |
| Data Pipeline | 1 | 1,437 | 344 | 74 | +109% |
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