shahparth announces the general availability of integrated AI and RAG connectors in Azure Logic Apps Standard, enabling native support for advanced document processing and semantic search within enterprise automation workflows.

General Availability of AI and RAG Connectors in Azure Logic Apps Standard

Azure Logic Apps Standard now features comprehensive, generally available AI and Retrieval-Augmented Generation (RAG) capabilities. This release introduces out-of-the-box support for document processing, semantic retrieval, embeddings, and grounded reasoning directly in workflow automation.

Available AI Connectors

Logic Apps Standard offers four primary, AI-focused connectors:

1. Azure OpenAI Connector

  • Actions:
    • Get an embedding
    • Get chat completions
    • Get chat completions using prompt templates
    • Get completion
    • Get multiple chat completions
    • Get multiple embeddings
  • Use cases:
    • Integrate natural language understanding and structured AI responses
    • Enable guided decisioning, user-facing assistants, semantic search, classification, and routing tasks

2. Azure AI Search Connector

  • Actions:
    • Index documents
    • Delete documents
    • Search vectors (including natural language)
    • Merge documents
    • Agentic retrieval output (Preview)
  • Use cases:
    • Hybrid semantic and vector search embedded in workflows
    • Retrieval of enterprise data for grounding AI responses

3. Azure AI Document Intelligence Connector

  • Action:
    • Analyze document
  • Use cases:
    • Extract structured data from diverse formats (PDFs, images, forms)
    • Kick off validation, downstream process automation, or content enrichment

4. AI Operations Connector

  • Actions:
    • Chunk text with metadata
    • Parse document with metadata
  • Use cases:
    • Transform unstructured documents into structured, enriched content for semantic search and embeddings
    • Page-level, token-aware chunking for optimal AI workflow preparation

Agentic and Advanced AI Orchestration

AgentLoop integration allows AI models within Logic Apps Standard to orchestrate workflow actions iteratively, enabling document intelligence agents, assistants based on RAG approaches, and advanced evaluators through multi-step reasoning and automation.

Key Takeaways

  • Native AI functionality can now be embedded directly in automation workflows without added infrastructure.
  • Teams can streamline document-heavy tasks, enhance workflow intelligence, and explore advanced agentic patterns.
  • All capabilities are generally available, ready for production integration.

Start leveraging AI connectors and advanced workflow automation in Logic Apps Standard today for smarter, context-aware business solutions.

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