LLMate Product Document
  • Getting Started
    • đŸ‘‹Welcome
  • Setting
    • Team
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    • API Key Management
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    • Model Management
      • OpenAI
      • ClaudeAI
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    • Data Pipeline Management
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  • Datasource
    • Datasource - Overview
    • Creating Datasource
      • Structured
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    • Managing Datasource
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        • Schema Level Configuration Menus
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        • Table-Level Configuration Menus
          • Information
          • Concepts
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      • 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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On this page
  • Why It Matters:
  • Typical Actions:
  1. Assistant
  2. Managing Assistant
  3. Assistant-Level Configuration

Chat Threads

PreviousDatasourcesNextSuggested Questions

Last updated 2 months ago

Provide a record of past conversations and queries handled by the Assistant, organized by date.

Why It Matters:

Reviewing chat history allows you to track the types of questions asked, understand the Assistant’s responses, and identify areas for improvement.

Typical Actions:

Browse past interactions, search for specific discussions, and review how the Assistant has resolved past queries.