LLMate Product Document
  • Getting Started
    • 👋Welcome
  • Setting
    • Team
      • Members
      • Invitation
      • Leave Organization
    • API Key Management
      • View all API keys
      • Create a new API key
      • Editing an Existing API Key
      • Deleting an API Key
    • Model Management
      • OpenAI
      • ClaudeAI
      • VertexAI
      • Azure OpenAI
    • Data Pipeline Management
      • Connector Level
      • Table Level
    • Data Connection Management
      • Connection Level
      • Account Level
  • Datasource
    • Datasource - Overview
    • Creating Datasource
      • Structured
      • Third-Party Tool
      • Semi-Structured
    • Managing Datasource
      • Structured & Third Party Datasource
        • Schema Level Configuration Menus
          • Information
          • Table & Schema
          • Joins
          • LLM Settings
          • Manage Examples
          • Logs
          • Suggested Questions
        • Table-Level Configuration Menus
          • Information
          • Concepts
          • Preview
      • Semi-structured Datasource
        • Information
        • Setup
    • Querying Datasource
      • Datasource Response
      • Adding Datasource response to Dashboard
  • Assistant
    • Assistant - Overview
    • Creating Assistant
    • Managing Assistant
      • Assistant-Level Configuration
        • Information
        • LLM Settings
        • Datasources
        • Chat Threads
        • Suggested Questions
      • Connected Datasource-Level Configuration
    • Assistant Chat
      • Assistant Response
      • Adding Assistant's response to Dashboard
  • Reporting
    • Dashboard
      • Creating Dashboard
        • Adding widget
          • Collaborating with Datasource
          • Collaborating with Assistant
        • Adding Sections
          • Managing Section
      • Managing Dashboard
        • Editing Dashboard
        • Deleting Dashboard
        • Sharing & Publishing Dashboard
    • Notebook
      • Creating Notebook
      • Building Reports in Notebook
        • Adding Data Insights to Notebook
          • Collaborating with Data Source
          • Collaborating with Assistant
      • Managing Notebook
        • Edit Notebook
        • Save Notebook Edits
        • Delete Notebook
        • Publish Notebook
  • Integration Doc
    • Meta Ads
    • Google Ads
    • Google Analaytics - GA 4
    • Shopify
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  1. Setting

Data Pipeline Management

The Data Pipeline Management feature allows users to manage their data connections efficiently, structured into two levels: the Connector Level and the Table Level. This feature ensures seamless interaction with data sources and tables, enabling effective data management and exploration.

PreviousAzure OpenAINextConnector Level

Last updated 2 months ago