What's New
This release is all about using the DWA Framework to Operationalize your AI flows, with three new templates and a new table for storing and editing AI prompts for meta data driven engineering.
Extract-AI-LH
This is our "Swiss army knife" for converting AI Prompts into Extract based data engineering with support for both azure open ai and general open ai clients and models in AI foundry, open AI or external such as Perplexity.
Convert-PDF-Markdown
This template supports converting PDFs or Word documents into Markdown format which is essential for building document intelligence workflows and RAG based gen AI workflows
Extract-Markdown-EH
For building full document management solutions and RAG AI Workflows, this template will take a folder of markdown document and chunk them into section per chapter or based on token size and store them in a vector indexed table in a fabric event house ready for search and retrieval (vide and demo to come)