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Curiosity Workspace // Search Configuration
Curiosity AI provides a search engine designed for both structured and unstructured data, tightly integrated with the knowledge graph.
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In this section:
- Full Text Search: Indexing node fields for keyword search.
- Ranking and Boosting: Fine-tuning relevance using BM25 and field weights.
- Filters and Facets: Refinement using property and graph-based filters.
- AI Search: Semantic search using embeddings and semantic re-ranking.
- Execution Scopes: Execution contexts for custom search logic.
- Relevance Tuning: Advanced strategies for improving search quality.