RAG-Based Ingestion for Generative AI Applications with Logic Apps Standard in Public Preview
Briefly

These actions are built on the Apache Tika toolkit and parser libraries, allowing you to parse thousands of file types in multiple languages, such as PDF, DOCX, PPT, HTML, and more. You can seamlessly read and parse documents from virtually any source without custom logic or configuration!
Azure Logic Apps' document parsing and chunking capabilities unlock many automation possibilities. These features, from legal workflows to customer support, allow businesses to harness AI for more innovative document processing.
With these actions, the company further invests in artificial intelligence capabilities for its low-code offering. The new Data Operations actions "Parse a document" and "Chunk text" transform content from formats like PDF, CSV, and Excel into tokenized strings.
Developers can easily ingest documents or files, including both structured and unstructured data, into AI Search without writing or managing any code, simplifying integration of AI models.
Read at InfoQ
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