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query-optimization

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Contains implementations of various algorithms for database query optimization. The algorithms cover multiple problem variants (e.g., traditional and multi-objective query optimization) and offer different tradeoffs between optimality guarantees and optimization time (e.g., fast randomized algorithms, approximation schemes, exhaustive algorithms…

  • Updated Oct 2, 2016
  • Java

This project focuses on scalable data processing and query performance optimisation. It uses Snowflake for data warehousing, GCP Cloud Functions for serverless compute, and Apache Kafka for real-time data streaming. It leverages the serverless capabilities of the systems for scalability and performance.

  • Updated Sep 10, 2024
  • HCL

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

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