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Large Language Models (LLMs) often "hallucinate" or provide inaccurate answers because they lack access to your company's specific, up-to-date data. While Retrieval-Augmented Generation (RAG) is the standard solution, it typically forces developers to build and manage tedious data retrieval logic within every single application.

With the help of its technology partner, dataengine, Counties Energy was able to implement the Snowflake AI Data Cloud platform, and now relies on it as the foundational tool for managing the company's operations and growth. Snowflake serves as a solid data foundation that is enabling more employees to make data-driven decisions by using natural language to query complex data.

AI is only as good as the data behind it. That’s why 87% of IT leaders are relying on data streaming platforms to feed AI systems. Dig into how businesses like Reworked AI and @Notion are accelerating their AI initiatives with DSPs.

High token consumption from long prompts can degrade model performance and lead to expensive, inefficient LLM operations. This video demonstrates how to solve that problem using Kong's AI Gateway. AI Prompt Compressor Plugin: See how this plugin intelligently compresses incoming prompts before they hit the model. It summarizes context, removes redundant information, and trims excess tokens—all while preserving the original meaning.This could lead to significant cost savings and improved performance.