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Postgres Action Node, Azure AI & Deepseek Models

Query databases directly in your flows, connect Azure AI models without custom code, and use advanced AI reasoning with our new Deepseek integration.

Postgres Action Node — Run Postgres Queries from Agent Flows

With Postgres Action Node, Now you can run SQL queries directly within your flow. No external setup or backend scripting required just connect and query.

Why it’s useful:

  • Read data from your database on the fly

  • Log outputs directly into your tables

  • Run real-time inserts and updates during flow execution

  • Build dynamic, data-powered automations without custom code

Extended Azure AI Support — Use Azure Models Seamlessly in Your Flows

You can now bring your Azure AI Foundry or Azure OpenAI models directly into Lamatic. It’s never been easier to connect your enterprise AI infrastructure.

Why it’s useful:

  • Easily plug Azure-hosted LLMs into your workflows

  • Stay within your organization’s secure cloud environment

  • Deploy models for summarization, RAG, chatbots, and more

  • Avoid the need for custom API connectors or extra dev time

Deepseek Model Now Available — High Reasoning AI at Your Fingertips

We’ve added support for the Deepseek Model, designed for long-context understanding and deep technical reasoning.

  • Handle long documents and complex inputs easily

  • Perform advanced reasoning and multi-step Q&A

  • Improve performance on analytical, structured, or technical content

  • Generate more accurate and complete responses in your flows

👉 Checkout the docs

Other Improvements

  • Clearer Error Messages: Better error explanations when setting up integrations like Google Drive, Google Sheets, OneDrive, S3, and SharePoint - easier to fix problems.

  • Improved Settings: Smoother experience when adding or updating security credentials.

  • Faster Loading: Quicker loading times when setting up vector databases.

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