In this session, Farah shares experience developing a context-aware conversational agent using Large Language Models (LLMs) at Feedly AI search platform. The agent offers intelligent services like summarization, analysis, and report generation, tailored to the user’s context and content. She will discuss the unique challenges and strategies involved in catering to external users with stringent requirements, where accuracy, consistency, and the ability to synthesize large amounts of data are crucial, unlike most current initiatives focusing on internal enterprise use cases with higher tolerance for inconsistency and simpler information retrieval.