SynxDB Cloud Documentation

Table of Contents

  • Product Overview
  • Deployment
  • Load Data
  • Operate with Data
  • Optimize Performance
  • AI & ML (SynxML)
    • SynxDB AI Bot - Doc
    • SynxDB AI Bot - Data
    • SynxML SQL
    • SynxML Python
  • Manage System
  • Configure Security and Permissions
  • Developer Guides
  • Tutorials
  • Reference Guide
SynxDB Cloud Documentation
  • AI & ML (SynxML)

AI & ML (SynxML)

  • SynxDB AI Bot - Doc
    • Core scenarios & user value
    • Key capabilities
    • Underlying architecture
    • How to use
  • SynxDB AI Bot - Data
    • Core scenarios & user value
    • Key capabilities
    • How to use
  • SynxML SQL
    • Features
    • Prerequisites
    • Prepare database and extension
    • Manage LLM services
    • Load data
    • Manage user and permission
    • Train model
    • Manage jobs
    • Manage models
    • Make predictions
    • Available UDFs
    • Supported algorithms
    • Get help
  • SynxML Python
    • Prerequisites
    • Prepare database
    • Enter the SynxML Python environment
    • Configure database
    • Load and preprocess data
    • Use traditional ML models
    • Use deep learning models
    • Use AutoML capabilities
    • Use Flow - Data processing pipelines
    • Use RAG
    • Best practices and tips
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SynxDB Cloud Documentation

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  • AI & ML (SynxML)