Agentic AI systems built on large language models can plan over multiple steps, use external tools, retain information in memory, and coordinate with other agents. These capabilities make them more useful than static language models, but they also introduce new security and operational risks. Untrusted content from web...
Fayeq Jeelani Syed, Rehan Ahmad, Ali Al Bataineh et al.· 0 citations
Non-technical stakeholders frequently cannot write the SQL needed to extract insights from operational databases. We built and evaluated a Text-to-SQL agent that closes this gap end to end: a six-node LangGraph StateGraph checks question relevance, fetches the live schema, generates PostgreSQL, validates it with a dry...
Vigneshwar Ravi Rao, Rupesh Swarnakar, Fayeq Jeelani Syed· 0 citations
Online discourse about urban issues - walkability, cycling infrastructure, public transit, housing density, and street safety - is voluminous but unstructured, and existing city-evaluation tools capture none of it. We present a pipeline and conversational system that combines geographic entity resolution, topic modelin...
J. Morales, Monica Hegde, Fayeq Jeelani Syed· 0 citations
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