Tag Archives: Generative AI

Using RAG for Energy Knowledge Management

Using RAG for Energy Knowledge Management

Oil and gas companies produce vast volumes of technical documentation — including drilling reports, seismic datasets, and regulatory filings. Yet, accessing relevant insights from these records is often a manual and time-consuming effort. Retrieval-Augmented Generation (RAG) addresses this by combining vector-based search with Large Language Models (LLMs). This allows engineers, geologists, and analysts to query […]

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Generative AI vs Workflow Automation: Who Wins?

Generative AI vs Workflow Automation: Who Wins?

As artificial intelligence rapidly transforms the industrial and energy sectors, many teams are asking: Should we rely on Generative AI to explore data and drive insights, or use structured automation to ensure accuracy and control? In this article, we explore two transformative approaches – LLM + RAG (Retrieval-Augmented Generation) pipelines and no-code/low-code automation frameworks—each uniquely […]

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