Polarity’s AI Summaries use case shows how federated search and large language models streamline analysis by condensing complex data into clear, actionable insights. Analysts can generate summaries or interpret system outputs, reducing the burden of manual review and supporting junior staff with advanced contextualization. Polarity provides control over what data is shared with LLMs, integrates with over 200 data sources, and simplifies API and permissions management. It extends beyond the browser as a proactive “wingman,” enabling connectivity to custom or internal sources and supporting in-line feedback, task creation, and workflow actions.

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