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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On this page
  • Table:
  • Graph:
  • SQL:
  • Add to Dashboard:
  • CSV:
  • Change Graph Type:
  1. Assistant
  2. Assistant Chat

Assistant Response

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Last updated 2 months ago

When the assistant replies to your query, the response window is interactive and offers several buttons, each serving a distinct purpose:

Table:

  • What It Does: Displays the query results in a structured, spreadsheet-like grid.

  • Why It Matters: This view is ideal for examining raw data, comparing values, and performing manual checks. It allows you to scroll through rows and columns, sort data, and inspect individual records to ensure accuracy.

Graph:

  • What It Does: Visualizes the data as a chart or graph.

  • Why It Matters: Visual representations help you identify trends, patterns, and anomalies more quickly than raw numbers alone. Graphs make it easier to communicate findings with stakeholders and support data-driven decision-making.

SQL:

  • What It Does: Shows the SQL query that was generated to fetch the data, along with a confidence score.

  • Why It Matters: For users with technical backgrounds, reviewing the SQL can provide assurance that the query aligns with expectations. The confidence score gives an indication of how certain the assistant is about the query's correctness, highlighting when manual review might be needed.

Add to Dashboard:

  • What It Does: Allows you to save the current table or graph directly to one of your dashboards.

  • Why It Matters: Adding data visualizations or tables to a dashboard consolidates important metrics in one place for ongoing monitoring. This feature streamlines the process of creating reports and ensures that insights are readily available for future reference and decision-making.

CSV:

  • What It Does: Downloads the query result as a CSV file.

  • Why It Matters: Exporting data allows you to perform further analysis in tools like Excel or share the data with colleagues who may not have direct access to LLMate. It supports offline analysis and archival of important datasets.

Change Graph Type:

  • What It Does: Offers options to modify the visualization style of the current graph (e.g., switching from a bar chart to a pie chart).

Why It Matters: Different chart types can highlight different aspects of data. Changing the graph type helps you discover the most insightful way to present the information, tailoring the visualization to the nature of the data and the questions you’re exploring.