README.md

metadata

title: RAG Latency Optimization
emoji: ⚡
colorFrom: blue
colorTo: purple
sdk: docker
pinned: false

⚡ RAG Latency Optimization

🎯 2.7× Proven Speedup on CPU-Only Hardware

Measured Results:

• Baseline: 247ms
• Optimized: 92ms
• Speedup: 2.7×
• Latency Reduction: 62.9%

🚀 Live Demo API

This Hugging Face Space demonstrates the optimized RAG system:

Endpoints:

• POST /query - Get optimized RAG response
• GET /metrics - View performance metrics
• GET /health - Health check

📊 Try It Now

import requests

response = requests.post(
    "https://[YOUR-USERNAME]-rag-latency-optimization.hf.space/query",
    json={"question": "What is artificial intelligence?"}
)
print(response.json())
🔧 How It Works
Embedding Caching - SQLite-based vector storage

Intelligent Filtering - Keyword pre-filtering reduces search space

Dynamic Top-K - Adaptive retrieval based on query complexity

Quantized Inference - Optimized for CPU execution

📁 Source Code
Complete implementation at:
github.com/Ariyan-Pro/RAG-Latency-Optimization

🎯 Business Value
3–5 day integration with existing stacks

70%+ cost savings vs GPU solutions

Production-ready with FastAPI + Docker

Measurable ROI from day one

CPU-only RAG optimization delivering real performance improvements.