Querya – AI-Powered Semantic Search
Ahmad Hassan
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Posted Oct 1, 2025
Built Querya, an AI-powered semantic search tool using NLP to deliver context-aware results from ML resources, docs & transcripts.
Introduction:
Querya is an AI-powered semantic search system designed to help users retrieve accurate, context-aware information from large collections of AI and Machine Learning resources.
Challenge:
Traditional keyword-based search tools fail when dealing with complex technical queries. They often return irrelevant results, missing the intent behind the search. With the rapid growth of AI research, users needed a way to quickly find meaningful insights across technical documents, transcripts, and articles.
Solution:
I developed Querya, a semantic search engine that leverages modern NLP techniques, embeddings, and context understanding to:
Interpret the intent behind user queries.
Retrieve highly relevant content from unstructured technical resources.
Provide fast, reliable, and intelligent search results.
Results:
Delivered context-aware results, reducing irrelevant matches.
Enabled researchers and practitioners to save time navigating technical material.
Improved knowledge accessibility across diverse AI/ML resources.
Conclusion:
Querya demonstrates how AI + NLP can make complex technical knowledge easily searchable. By focusing on intent and context rather than keywords, it provides a smarter, more accurate way to explore AI and ML content.