Enriching indexed content metadata

The AutoClassifier service enhances your search experience by analyzing and enriching content before it is indexed. Using configurable pipelines, taxonomy rules, and machine learning classifiers, AutoClassifier transforms unstructured data into structured metadata that drives more relevant and intelligent search results. This section guides you through defining component pipelines, verifying their performance, integrating external enrichment sources, and managing taxonomies to categorize and tag your content effectively.

By properly configuring your AutoClassifier environment, you can enable advanced features such as semantic search, document classification, entity extraction, and adaptive metadata generation capabilities that form the intelligence layer of the BA Insight ecosystem.

Recommended order of tasks:

1. Set up your AutoClassifier pipelines

2. Verify pipeline performance

3. Integrate machine learning providers

4. Build and manage taxonomies

5. Simulate and refine enrichment logic

6. Monitor logs and performance