Tagging

In Hyper, tagging is an essential feature that allows developers to categorize and manage their data efficiently. By tagging uploaded files, URLs/Sitemaps, and data synced from integrations, developers can ensure that their data is easily searchable and retrievable. This is particularly useful when using Hyper's RAG (Retrieval-Augmented Generation) LLM capabilities for querying specific responses.

Methods of Tagging

Manual Tagging

Manual tagging is a process where developers can apply custom tags to their data entries programmatically via the Hyper API.

Steps to Manually Tag Data via the API:

1. Identify the Data: Determine the data entry that you wish to tag.
2. Create Tags: Construct an API request that includes the data identifier and the tags you wish to apply.
3. API Call: Use the appropriate endpoint to send your request and apply the tags to your data.

Auto-Tagging

Auto-tagging automates the tagging process by allowing developers to define rules that the Hyper API can use to automatically apply tags to incoming data.

Setting Up Auto-Tagging:

1. Define Tagging Rules: Create rules that will trigger the application of specific tags.
2. Implement Auto-Tagging: Incorporate these rules into your API setup so that incoming data is automatically tagged according to the rules you've established.

Purpose of Tagging

Tagging serves several key purposes:

• Filtering: Tags enable developers to filter data when querying for RAG LLM responses. This makes data retrieval more efficient and relevant.
• Organization: Tags help in managing and categorizing large datasets, which is critical for maintaining an effective data pipeline.
• Integration: When data is sourced from various integrations, tags provide a unified method to manage this diverse data effectively.

Getting Started

To begin with tagging in Hyper, follow these steps:

1. Understand Your Data: Review the types of data you are working with and determine appropriate tagging categories.
2. Decide on Tagging Mechanism: Choose between manual and auto-tagging based on your needs or use a combination of both.
3. Use Hyper API: Implement tagging through the API endpoints provided by Hyper.
4. Iterate and Optimize: Continuously refine your tagging strategy to improve data retrieval and management.

For further details on Hyper's tagging API, please refer to the API documentation.