# 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 --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.search.io/developer-documentation/fundamentals/pipelines/record-pipelines.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.