# July 28: Support for indexing workflow stage, Azure AI language detection, bug fixes ### New Features * Added `indexing` workflow stage. This provides for configuration of indexing services, which may infer metadata from the content. * Added `AZURE_AI_LANGUAGE` content indexing service, which supports inferring the language of extracted text or transcript. * Added support for `language` content metadata. This returns a list of languages in ISO 639-1 format, which may have been inferred from the extracted text or transcript. * Added support for `MODEL_IMAGE` extraction service. This provides integration with vision models beyond those provided by OpenAI. You can assign a custom specification and bring-your-own API key for image extraction models. * :zap: We have deprecated the `OPENAI_IMAGE` service type, and developers should now use the LLM image service instead. * :zap: We have removed the `language` field from `AudioMetadata` type, which has been replaced by the new `LanguageMetadata` type. ### Bugs Fixed * GPLA-2987: Extracting text with Azure Doc Intelligence does not extract hyperlinks --- # 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://changelog.graphlit.dev/july-2024/july-28-support-for-indexing-workflow-stage-azure-ai-language-detection-bug-fixes.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.