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cost-efficiency

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Optimal Network Planner is a tool for optimizing wireless network coverage using clustering and path planning algorithms. By analyzing signal strength data, it identifies key nodes that maximize network coverage and determines the shortest path to cover these areas efficiently. This project helps ensure the strongest network with minimal area.

  • Updated Mar 19, 2025
  • Jupyter Notebook

This package helps users quickly compare virtual private server (VPS) offerings by taking a simple text input—like a list of VPS providers, their plans, or key features—and returning a structured brea

  • Updated Dec 21, 2025
  • Python

Enhance the performance and cost-efficiency of large-scale Retrieval Augmented Generation (RAG) applications. Learn to integrate vector search with traditional database operations and apply techniques like prefiltering, postfiltering, projection, and prompt compression.

  • Updated Jul 23, 2024
  • Jupyter Notebook

A new package that helps users understand and navigate the complexities of hybrid cloud environments in 2025. Users can input their specific hybrid cloud challenges, such as data gravity (the tendency

  • Updated Dec 21, 2025
  • Python

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