Performance Optimization for Edge RAG
Overview
Section titled “Overview”Optimize retrieval and inference performance for production RAG systems on edge infrastructure.
Optimization Strategies
Section titled “Optimization Strategies”Techniques
Section titled “Techniques”Retrieval Optimization
Section titled “Retrieval Optimization”- Index compression
- Caching strategies
- Query optimization
- Batch retrieval
Inference Optimization
Section titled “Inference Optimization”- Model quantization
- Pruning
- Distillation
- Batching
Resource Management
Section titled “Resource Management”- Memory optimization
- CPU efficiency
- Disk I/O reduction
- Network optimization
See also: Architecture | MLOps Pipeline