Embedding Search
Embedding Search
Vector-based semantic search using simulated embeddings. Provides hybrid search combining keyword matching with semantic similarity.
Capabilities
- Semantic document search
- Vector similarity matching
- Document chunking and indexing
- Hybrid keyword + vector search
- Relevance scoring and ranking
- Full-text search fallback
- Document categorization
- Configurable similarity thresholds
When to Use
Use the embedding-search skill when:
- Searching through large document collections
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