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Data Engineeringunstructured

How Unstructured handles chunking and embedding pipelines

Decoded by Sia·about 3 hours ago00
Chunking and embedding pipelines is often where document ETL for AI programs succeed or stall, and [Unstructured](https://saaskart.co/software/unstructured) supports it directly. Set it up thoughtfully so it reflects your real requirements, and connect it to parsing for 60+ file types so the two reinforce each other. Unstructured reduces the manual effort this usually requires. Track the outcomes so you know it is working, and adjust as your needs evolve. Handling chunking and embedding pipelines well in Unstructured removes a common bottleneck for data and AI teams building RAG pipelines, letting the team focus on higher-value work rather than repetitive tasks.

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