Insights that Accelerate Results

This article discusses how Model Context Protocol (MCP) expands AI chatbot capabilities with live data, actionable tools, and smarter workflows to improve customer interactions.

The functionality of the modern blend of AI has some immensely powerful capabilities that offer a great deal of opportunity. LLMs also have some important flaws. Awareness of what AI is, what it’s capable of (and not capable of) is crucial to weighing opportunity cost of IT time. It’s simply too expensive to not be aware of what AI is.

This article explores the challenges and solutions in integrating Java with large language models (LLMs) for search. It details building a proof-of-concept for leveraging popular LLMs like SBERT and OpenAI, using Python-based tools to bridge gaps in Java compatibility. Learn how vector databases, FastAPI, and Chroma enable powerful search functionalities.