Customizable data indexing pipelines are essential for developers requiring high-quality data retrieval from unstructured documents. The article discusses various components, such as parsing, chunking strategies, embedding models, and vector databases, that can be tailored to meet specific needs, along with examples of pipeline configurations for different data types. CocoIndex is highlighted as an open-source tool that supports these customizable transformations and incremental updates.