> For the complete documentation index, see [llms.txt](https://docs.search.io/developer-documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.search.io/developer-documentation/fundamentals/pipelines/record-pipelines.md).

# Record Pipelines

Record pipelines can update and augment information as it is indexed. Steps can include:

* Data transformation - e.g. trimming a title
* Data enrichment - e.g. generating a latitude and longitude from an address
* Classification - e.g. labeling content with a category based on an existing model
* Vectorization - e.g. clustering uncategorized records
* Image recognition - e.g. detection of objects and faces, read printed and handwritten text, extraction of metadata