LogoLogo
  • Overview
  • Chatbot Features
  • Studio
  • Orchestration Interface
    • Node Orchestration
      • Node
        • Start
        • End
        • Direct Reply
        • LLM
        • Question Classifier
        • Knowledge Retrieval
        • Code Execution
        • Doc Extractor
        • HTTP Request
        • Conditional Branch IF/ELSE
        • Iteration
        • List Operator
        • Parameter Extraction
        • Template
        • Tools
        • Variable Aggregator
        • Variable Assigner
    • Variables
    • Application Toolkits
    • File Upload
  • Dataset
    • Dataset Creation
    • Text Preprocessing and Cleaning
      • Advanced Configuration
    • Retrieval Test/Citation
  • Privacy Policy
Powered by GitBook
On this page

Was this helpful?

  1. Dataset

Dataset Creation

PreviousDatasetNextText Preprocessing and Cleaning

Last updated 2 months ago

Was this helpful?

Users can incorporate RAG into their applications by connecting to external sources or uploading documents. Glik offers a simple tool to manage and process knowledge bases, making them accessible across all their applications.

In the knowledge main page users can manage your knowledge bases, create new ones, or connect to APIs to access to external knowledge bases

Create a Dataset

By clicking on the "Create Dataset" card in the main page, users can access the create knowledge interface.

In here they can import files, sync from a Notion page, or sync from a website.

After choosing a data source, Glik provides a preprocessing and cleaning tool, for better processing and structuring of the content.

After choosing your indexing and chunking methods users can process the knowledge by clicking on save & process, finalizing the dataset creation.