Episode 2 - AI Design Patterns Prompting, RAG & Agents

Описание: Explore advanced AI design patterns including Prompt Engineering, Retrieval-Augmented Generation (RAG), and Autonomous Agents. We dive into Model Context Protocol (MCP) and how to manage AI memory for scalable business solutions.

Content Highlights:
Prompt Engineering: Role prompting, structure, and chain of thought.
RAG (Retrieval-Augmented Generation) and Vector Search architecture.
AI Memory management: Short-term vs. Long-term persistence.
The role of Tools (Function Calling) and Autonomous Agents.
Introduction to the Model Context Protocol (MCP) by Anthropic.

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📘 Documentation: https://ai.ortusbooks.com
🐙 Source Code: https://github.com/ortus-boxlang/bx-ai

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BoxLang is a modern, dynamic JVM language built for productivity, performance, and flexibility.

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