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Enhanced Metadata Integration for Improved Knowledge Source Search #140

Open joaonetozup opened 1 month ago

joaonetozup commented 1 month ago

Summary

Enriching the indexing process of Knowledge Sources (KS) and Knowledge Objects (KOs) within StackSpot AI by incorporating descriptive metadata. By including tags, titles, descriptions, LLM-generated metadata, and use cases, this enhancement seeks to improve the platform's similarity search capabilities and overall usability.

Intended Outcome

The successful implementation of this feature will result in several key outcomes:

  1. Enhanced Search Accuracy: By incorporating comprehensive metadata, the platform's search engine will provide more accurate and relevant results, improving user experience.
  2. Improved Content Discovery: Users will be able to find the most relevant Knowledge Sources and Objects quickly and efficiently, enhancing productivity and satisfaction.
  3. Advanced Metadata Management: The system will support both manual input and automatic generation of metadata, offering flexibility and precision in content categorization.
  4. Streamlined Tagging Strategy: The inclusion of use case tags, either manually or through AI analysis, will help the LLM understand the primary function and context of each Knowledge Source, further refining search outcomes.
  5. Informed Iterations: Continuous feedback and data collection during pilot testing will inform subsequent iterations, ensuring ongoing improvements to search capabilities.
  6. Comprehensive Documentation: Updated documentation and training will guide content creators in effectively adding and managing metadata, maximizing the benefits of the new system.