Tag: semantic vector search business
As businesses fast-track their adoption of AI agents in 2026, a troubling metric has emerged: 62% of deployments aiming for automated ticket deflection fail to move the needle beyond basic FAQs. The culprit? Most AI…
April 2026 marks another record year in the adoption of Retrieval-Augmented Generation (RAG) knowledge bases, yet the numbers reveal a hidden problem: over 70% of in-house RAG projects fail to reach business ROI. Why do…
It’s April 2026, and businesses everywhere are embracing AI automation—yet 61% of these projects fail to meet expectations after launch. The culprit? While models have advanced rapidly with agentic AI, multimodal LLMs, and truly autonomous…
As AI-driven customer support has rapidly advanced in 2026, one innovation separates high-performing support teams from those left scrambling: Retrieval-Augmented Generation (RAG) knowledge bases. Companies embracing RAG-powered systems—like those built by Congni Tech—are seeing up…
It’s April 2026. The business landscape is buzzing with the promise of agentic AI: autonomous large language model (LLM) agents that qualify leads, automate support, and streamline operations. Yet, a sobering reality is emerging—73% of…
In 2026, agentic AI is transforming business operations, yet 68% of AI agent deployments still fail to deliver tangible ROI. The root causes are clear: lack of real-time knowledge access, fragmented data silos, and a…