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