🔢 Embedding Providers

Provider	Models	Dimensions	Latency	Cost
Agentic-Flow	ONNX SIMD optimized	384	~3ms	Free (local)
OpenAI	text-embedding-3-small/large, ada-002	1536-3072	~50-100ms	$0.02-0.13/1M tokens
Transformers.js	all-MiniLM-L6-v2, all-mpnet-base-v2, bge-small	384-768	~230ms	Free (local)
Mock	Deterministic hash-based	Configurable	<1ms	Free

Feature	Description	Performance
Auto-Install	provider: 'auto' installs agentic-flow automatically	Zero config
Smart Fallback	agentic-flow → transformers → mock chain	Always works
75x Faster	Agentic-flow ONNX vs Transformers.js	3ms vs 230ms
LRU Caching	Intelligent cache with hit rate tracking	<1ms cache hits
Batch Processing	Efficient batch embedding with partial cache	10 items <100ms
Similarity Functions	Cosine, Euclidean, Dot product	Optimized math