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Month: May 2025

Illustration representing hidden interview biases with diverse candidates and interviewer

5 Interview Biases You Did Not Know You Had and How to Fix Them

Bias in hiring is not always obvious. In fact most of it happens unconsciously. It sneaks into decisions and conversations without anyone noticing. And while bias is human, if left unaddressed it becomes one of the biggest risks to building a…

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collaborative interviews to make fast and thoughtful hiring decisions.

Why One Way Interviews Are the Smartest First Step in Your Hiring Funnel

Hiring in fast moving teams comes with one major bottleneck-coordination. Scheduling live interviews with candidates across different time zones, roles and availability can turn into a logistical nightmare. Recruiters spend hours chasing calendar slots only to get thirty minutes of surface…

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Illustration of a small hiring team reviewing resumes quickly while maintaining high candidate standards.

Hiring in a Hurry? How Small Teams Can Stay Selective at Scale

When your team is small and your goals are big, hiring can feel like a constant trade off. You want to move fast but not make bad decisions. You want to stay selective but do not have the time or tools…

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recruiters balancing technology and empathy to evaluate candidates

How to Evaluate Soft Skills at Scale Without Losing the Human Touch

In an increasingly people-centric workplace hiring for skill alone is not enough. You can train someone on tools and processes but you cannot train them to genuinely listen, resolve conflict, show empathy or stay calm under pressure. These are soft skills…

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Hiring pipeline graphic showing how small teams streamline recruitment without compromising quality

From Gut Feeling to Data Driven: Modernizing Candidate Evaluation

Hiring decisions shape your company more than any product launch or business strategy. The people you bring in today determine your culture, your output and your future. Despite this, many hiring decisions are still based on instinct, vague impressions and gut…

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Diagram of Deliqt’s enterprise-grade RAG system architecture for Agentic AI, showing vector search, LLM, and workflow orchestration

Deliqt’s Approach to Building an Enterprise-Grade RAG System for Agentic AI

In a world increasingly driven by real-time, contextual AI applications, Retrieval-Augmented Generation (RAG) has become foundational for enterprise-grade generative AI systems. At Deliqt, we’ve architected a robust and scalable RAG framework purpose-built for powering agentic AI experiences—where AI not only retrieves…

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