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query-processing

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Leverages extensive power of multiple Machine Learning algorithms & LLM to provide in-depth answers to medical queries and predicts condition/diseases based on patient symptoms

  • Updated Mar 11, 2024
  • Jupyter Notebook

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

It simulates a simple search engine using an inverted index to efficiently retrieve documents based on user queries. It supports must-have words, optional words, and exclusion filters, enabling flexible and precise search results. The system processes multiple documents, indexes their content,and allows users to search using logical query operators

  • Updated Feb 21, 2025
  • Java

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