Discovery Guide Series

Table of Contents

    1. Creating and Populating a Collection:  Ingestion, Crawlers, Connectors
    2. The Search Experience – Tooling and Reusable Components
    3. Conversion and Smart Document Understanding
    4. Understanding the Document
    5. Improving the Collection
      1. Enrichments
        1. NLU (built-in) Enrichments
        2. Dictionaries
        3. Patterns
        4. Advanced Rule Models
        5. Table Understanding
        6. Content Intelligence
        7. Topic Modeling (Beta – Internal Only Topic)
        8. Custom Models (Watson Knowledge Studio)
      2. Better Search Results
        1. Passage Retrieval
        2. Relevancy Training
        3. Curation
        4. Reading Comprehension (Beta)
        5. Classification
        6. Dynamic Facets
          1. Summarization
    6. Content Mining
    7. APIs and SDKs
    8. Use Cases
    9. Planning for a Discovery Project
    10. Best Practices
    11. Troubleshooting
    12. Cloud Pak for Data supplement
    13. History
    14. Summary