# Semi Structured Transformer The Transformers are scalable independent processors which use your model designs to make graph data. They can connect and ingest from virtually anything as a data source, where the Semi Structured Transformer handles: * CSV * JSON * XML Change Data Capture (CDC) is supported by the Semi Structured Transformers via an internal integration with Debezium. This allows your graphs to be always up to date and in sync with any changes made in the source data, for example in most SQL databases, Cassandra, or MongoDB. The Semi Structured Transformer can also perform any simple or complex data transformations via our plugin ‘Functions’ architecture. There is a vast library of built in functions, with the ability to also write and load in your own for any specific requirements that may not be covered. --- # 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.graph.build/EGeX4aTAJLlpg9Hh8kfl/semi-structured-transformer.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.