stack-spot / stackspot-roadmap

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Adaptive Knowledge Updater: Batch update of Knowledge Sources #39

Open aspindola opened 10 months ago

aspindola commented 10 months ago

Summary

The development in StackSpot AI is focused on enhancing the platform's ability to batch import and dynamically update multiple Knowledge Objects (KOs) into various types of Knowledge Sources (KS), such as Code Snippets and API Catalogs. This feature will allow for the addition, editing, and deletion of KOs, keeping them synchronized with changes in their originating data sources. It aims to provide a user-friendly interface for the import and update processes, including a comprehensive API set that enables customers to create and manipulate their own KS Connectors. This enhancement is designed to improve the platform's contextual understanding and the quality of responses from the Language Model (LLM).

Intended Outcomes

Upon delivery, this feature will:

  1. Enhance Data Management: Enable users to efficiently manage and update KOs within various KS types.
  2. Improve Contextual Relevance: Keep the platform's content up-to-date, enhancing the contextual accuracy of the LLM's responses.
  3. Facilitate User Operations: Provide a straightforward, user-friendly process for importing and updating KS, including clear guidance and feedback mechanisms.
  4. Customization and Flexibility: Offer customers the ability to create and customize their KS Connectors, allowing for tailored data management.
  5. Streamline Processes: Save users time and effort by simplifying the process of enriching and maintaining KS with up-to-date information.
  6. Comprehensive Documentation: Provide users with thorough documentation and best practices for effective data organization and management within the platform.

Overall, this feature aims to significantly improve the efficiency and effectiveness of knowledge management in StackSpot AI, leading to more intelligent and contextually aware interactions within the platform.