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🌟 Getting Started with DataheraldThis category provides new users with all the necessary information to begin using Dataherald's Natural Language-to-SQL API. It includes step-by-step guides on how to integrate the API into products, initial setup instructions, and an overview of the API's capabilities.📉 API Integration and UsageFocused on developers and technical users, this category offers detailed documentation on integrating Dataherald's API into various platforms, such as chatbots, Slack apps, and search bars. It covers specific API endpoints, request and response formats, and best practices for efficient use.📱 Database Integration and SecurityThis section delves into how to connect Dataherald with different databases, ensuring secure data handling practices. It explains the customization options available for database interactions, data privacy measures, and how to manage data sent to the LLM.📄 Optimization and CustomizationAimed at users looking to fine-tune the performance of the Dataherald engine, this category covers how to write database instructions, add enterprise context, and customize the API for specific application needs. It includes tips on enhancing accuracy and optimizing response times.🛠️ Troubleshooting and SupportProvides solutions to common issues encountered while using Dataherald's API, including troubleshooting steps for integration problems, database connectivity issues, and common error messages. It also offers guidance on how to seek further assistance through support channels.👥 Community and ResourcesThis category connects users with the broader Dataherald community and open-source projects. It includes links to GitHub, Discord, and other platforms where users can collaborate, share insights, and access additional resources such as demos, tutorials, and case studies.
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