Learn how to build production-ready AI agents with Google Agent Development Kit (ADK). This comprehensive tutorial covers architecture fundamentals, setup, and your first search assistant agent with C4 diagrams, code examples, and deployment strategies.
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Function Calling Deep Dive: Building LLM-Powered Tools and Agents
Introduction: Function calling transforms LLMs from text generators into action-taking agents. Instead of just describing what to do, the model can actually do it—query databases, call APIs, execute code, and interact with external systems. OpenAI’s function calling (now called “tools”) and similar features from Anthropic and others let you define available functions, and the model […]
Read more →LangGraph Unleashed: Building Stateful Multi-Agent AI Systems with Graph-Based Workflows
Introduction: LangGraph represents a paradigm shift in how we build AI agents. While LangChain excels at linear chains and simple agent loops, LangGraph introduces a graph-based approach that enables complex, stateful, multi-actor applications with cycles, branching, and human-in-the-loop interactions. Released by LangChain Inc. in early 2024, LangGraph has quickly become the go-to framework for building […]
Read more →CrewAI: Building Collaborative Multi-Agent Systems with Role-Playing AI Agents
Introduction: CrewAI has emerged as one of the most intuitive frameworks for building multi-agent AI systems. Unlike traditional agent frameworks that focus on single-agent loops, CrewAI introduces a role-playing paradigm where specialized AI agents collaborate as a “crew” to accomplish complex tasks. Released in late 2023 and rapidly gaining adoption throughout 2024, CrewAI simplifies the […]
Read more →AI Agent Architectures: From ReAct to Multi-Agent Systems – A Complete Guide
AI agents represent a paradigm shift from simple prompt-response interactions to autonomous systems capable of planning, reasoning, and taking actions. Understanding the architectural patterns that power these agents is essential for building production-grade AI applications. ℹ️ KEY INSIGHT The evolution from chatbots to agents mirrors the transition from procedural to agentic computing – where AI […]
Read more →Google Gemini API: Building Multimodal AI Applications with 2M Token Context
Introduction: Google’s Gemini API represents a significant leap in multimodal AI capabilities. Launched in December 2023, Gemini models are natively multimodal, trained from the ground up to understand and generate text, images, audio, and video. With context windows up to 2 million tokens and native Google Search grounding, Gemini offers unique capabilities for building sophisticated […]
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