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Agentic AI Systems offers a practical and evolving knowledge base for those looking to master the design of agentic and generative AI systems. Packed with personal summaries, technical architectures, and hands-on tools, this repository serves as an essential guide for building and evaluating advanced AI agents.
Agentic-AI-Systems offers a comprehensive knowledge base and hands-on resources tailored for the design and development of generative AI agents and agentic systems. This repository serves as an evolving platform for enthusiasts and professionals alike to enhance their understanding and application of agentic AI technologies.
Structured Learning: The repository is organized into distinct sections, making it easy to navigate through personal summaries, frameworks, and hands-on examples.
Gen-AI System Insights: Discover curated overviews on system design and evaluation tailored for generative AI. Problem-solving and design methodologies are documented to enrich knowledge in AI engineering workflows.
Agent Framework Deep Dives: Dive into detailed summaries of agent architectures, including tools, workflows, and orchestration strategies. Gain insights from summarized guides on major SDKs such as OpenAI, LlamaIndex, and more.
Practical Examples: Access a collection of starter codes and small projects to facilitate faster learning and development of agentic systems. Explore frameworks with example codes, design patterns, and real-world applications.
Explore different sections, such as /Gen-AI for summaries on generative AI system designs and /Agents for in-depth explorations of agent architectures. Utilize the /Code directory for hands-on coding examples that can accelerate development.
Contributions are welcomed in the form of new frameworks, examples, or summaries. Interested contributors can fork the repository and submit a pull request.
Explore Agentic-AI-Systems to expand your capabilities in building and designing intelligent AI systems.
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