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- ---
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- title: RAG Latency Optimization
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- emoji: ⚡
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- colorFrom: blue
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- colorTo: purple
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- sdk: docker
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- pinned: false
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- ---
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-
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- # ⚡ RAG Latency Optimization
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-
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- ## 🎯 2.7× Proven Speedup on CPU-Only Hardware
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-
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- **Measured Results:**
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- - **Baseline:** 247ms
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- - **Optimized:** 92ms
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- - **Speedup:** 2.7×
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- - **Latency Reduction:** 62.9%
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-
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- ## 🚀 Live Demo API
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-
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- This Hugging Face Space demonstrates the optimized RAG system:
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-
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- ### Endpoints:
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- - `POST /query` - Get optimized RAG response
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- - `GET /metrics` - View performance metrics
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- - `GET /health` - Health check
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-
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- ## 📊 Try It Now
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-
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- ```python
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- import requests
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-
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- response = requests.post(
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- "https://[YOUR-USERNAME]-rag-latency-optimization.hf.space/query",
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- json={"question": "What is artificial intelligence?"}
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- )
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- print(response.json())
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- 🔧 How It Works
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- Embedding Caching - SQLite-based vector storage
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-
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- Intelligent Filtering - Keyword pre-filtering reduces search space
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-
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- Dynamic Top-K - Adaptive retrieval based on query complexity
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-
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- Quantized Inference - Optimized for CPU execution
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-
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- 📁 Source Code
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- Complete implementation at:
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- github.com/Ariyan-Pro/RAG-Latency-Optimization
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-
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- 🎯 Business Value
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- 3–5 day integration with existing stacks
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-
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- 70%+ cost savings vs GPU solutions
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-
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- Production-ready with FastAPI + Docker
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-
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- Measurable ROI from day one
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- CPU-only RAG optimization delivering real performance improvements.