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NirDiamant/GenAI_Agents
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
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- NirDiamant/agents-towards-production
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Why this match
topics agentic-ai, agents, ai-agents
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In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
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topics agents, ai, llms
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Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
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topics agentic-ai, agents, ai; language differs: Jupyter Notebook → Python
- strands-agents/harness-sdk
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
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topics agentic-ai, agents, ai; language differs: Jupyter Notebook → TypeScript
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Build effective agents using Model Context Protocol and simple workflow patterns
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topics agents, ai, ai-agents; language differs: Jupyter Notebook → Python
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Build resilient agents.
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topics agents, ai, ai-agents; language differs: Jupyter Notebook → Python
- NirDiamant/Prompt_Engineering
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
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topics ai, genai, generative-ai
- NirDiamant/RAG_Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Why this match
topics ai, generative-ai, langchain