{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/91d78e69308d4190a78fabb5a2dbd01b\" frameborder=\"0\" width=\"1728\" height=\"1296\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1296,"width":1728,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1296,"thumbnail_width":1728,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/91d78e69308d4190a78fabb5a2dbd01b-becc9fe403551537.gif","duration":324.083,"title":"Getting Started with FES Assistant: Local Setup and Configuration 🚀","description":"In this video, I guide you through starting the FES Assistant application locally, emphasizing the need for the MCP server and proper LLM provider configuration, specifically with Azure OpenAI or Databricks. After setting up your .env file, we will initiate the back-end FastAPI service and connect to Sisense using your domain and API token. I demonstrate how to ask operational questions and explain the assistant's role in translating intents into actionable plans. Additionally, I showcase the migration mode for transferring data models, highlighting the approval step before execution. Please ensure you have followed the setup instructions from the previous video to get started."}