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database-operations

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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

This project explores AI-powered software and system design concepts, focusing on implementing generative AI techniques and design patterns to enhance software development. It includes practical examples, exercises, and tools to help developers build efficient, scalable, and maintainable systems.

  • Updated Apr 19, 2025
  • Jupyter Notebook

Plan and sequence Vitess resharding offline. Key-range algebra, minimal Reshard workflow computation from source/target layouts, VSchema and topology preflight, VReplication duration estimates, and a step-by-step operator runbook with verification and rollback for every step. Dry-runs plans in CI.

  • Updated Jul 20, 2026
  • Python

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