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Top 22 Jupyter Notebook genai Projects
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GenAI_Agents
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
Clear tutorials and implementations of generative AI agent techniques, from basic builds to advanced strategies. You’ll see how different agent strategies are wired up, which makes design choices feel obvious. Link: https://github.com/NirDiamant/GenAI_Agents
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SaaSHub
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agents-towards-production
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Project mention: Show HN: GibRAM an in-memory ephemeral GraphRAG runtime for retrieval | news.ycombinator.com | 2026-01-17GraphRAG's approach certainly makes sense for regulation-heavy documents, where interconnected references can be critical for retrieval quality. The challenge you mentioned about separate systems for graph storage and vector indexing resonates with what we've seen in the field. In practice, this separation often adds unnecessary complexity for ephemeral analysis tasks. One thing we've explored is using a dual-memory architecture, which might be relevant here even in an in-memory context. It allows you to effectively manage recent context and longer-term semantic connections without the overhead of persistent storage. If you're interested in seeing how this approach could be integrated into production systems, I wrote up some patterns that might be useful: https://github.com/NirDiamant/agents-towards-production.
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Prompt_Engineering
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
View on GitHub
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Project mention: The AI-Native GraphDB + GraphRAG + Graph Memory Landscape & Market Catalog | dev.to | 2025-10-26
URLs: https://neo4j.com/labs/genai-ecosystem/llm-graph-builder / https://github.com/neo4j-labs/llm-graph-builder / https://neo4j.com/blog/developer/graphrag-llm-knowledge-graph-builder
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llm-colosseum
Benchmark LLMs by fighting in Street Fighter 3! The new way to evaluate the quality of an LLM
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AI-Gateway
Labs to explore AI Models, MCP servers, and Agents with the AI Gateway powered by Azure API Management and Microsoft Foundry 🚀
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vertex-ai-samples
Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
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AWS-First-GenAI-Journey
Welcome to the AWS First Generative AI Journey repository! This project serves as a comprehensive resource for individuals and organizations looking to explore the transformative capabilities of Generative AI using Amazon Web Services (AWS).
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learning-llms-and-genai-for-dev-sec-ops
A set of lessons aimed at anyone learning LLM and generative AI concepts, with sections on operations and security, as well as development.
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Project mention: Black Hat Europe 2025 Arsenal: 8 AI Security Tools Transforming Cybersecurity | dev.to | 2025-11-09
https://github.com/Tencent/AI-Infra-Guard https://github.com/mandiant/harbinger https://github.com/stratosphereips/MIPSEval https://github.com/ErdemOzgen/RedAiRange https://github.com/ReversecLabs/spikee https://github.com/ThalesGroup/sql-data-guard
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Documents-Parsing-Lab
Jupyter notebooks testing different OCR models for document parsing (Dolphin, MonkeyOCR, Marker, Nanonets, ...)
I’m excited to share a new project I’ve been working on: Documents-Parsing-Lab
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RAGformation
Tailored cloud solutions based on use case, cost, and preferences using natural language with Agentic AI to research, design, price, diagram, and report an optimized result.
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SoccerGPT
Small POC to predict game outcomes of the 2024 European Championship using GPT-4o and sportmonks football API.
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AI
Explore the forefront of AI innovation with this dedicated repository, housing cutting-edge examples and implementations. Dive into the latest advancements, stay ahead with groundbreaking applications, and harness the power of state-of-the-art models and techniques. Elevate your understanding of artificial intelligence through hands-on work (by vishalmysore)
Project mention: Foundation vs. Instruct vs. Chat Models: One Question, Three Answers | dev.to | 2026-06-16Run it yourself: open foundation_instruct_chat_tutorial.ipynb in Google Colab and run every cell top to bottom. It uses the SmolLM2-135M family — small enough for a free CPU runtime, no GPU needed.
Jupyter Notebook genai discussion
Jupyter Notebook genai related posts
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Foundation vs. Instruct vs. Chat Models: One Question, Three Answers
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Show HN: GibRAM an in-memory ephemeral GraphRAG runtime for retrieval
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What Features Should I Look for in an AI Agent Observability Platform?
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Enhancing AI Integrations with MCP and Azure API Management
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Langfuse Launch Week #2
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Parallel function calling agent without OpenAI
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Mini-assistant: OpenAI Assistant compatible API at your service locally
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A note from our sponsor - SaaSHub
www.saashub.com | 12 Jul 2026
Index
What are some of the best open-source genai projects in Jupyter Notebook? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | GenAI_Agents | 23,060 |
| 2 | agents-towards-production | 20,939 |
| 3 | Prompt_Engineering | 7,657 |
| 4 | llm-graph-builder | 4,937 |
| 5 | DemoFusion | 2,040 |
| 6 | llm-colosseum | 1,483 |
| 7 | AI-Gateway | 949 |
| 8 | vertex-ai-samples | 762 |
| 9 | learning-cloud | 698 |
| 10 | haystack-cookbook | 544 |
| 11 | AWS-First-GenAI-Journey | 375 |
| 12 | tamingLLMs | 340 |
| 13 | beyondllm | 293 |
| 14 | learning-llms-and-genai-for-dev-sec-ops | 282 |
| 15 | deforum-x-flux | 224 |
| 16 | RedAiRange | 129 |
| 17 | Documents-Parsing-Lab | 80 |
| 18 | chat-to-database-chatbot | 37 |
| 19 | RAGformation | 36 |
| 20 | SoccerGPT | 28 |
| 21 | AI | 13 |
| 22 | dspy-phi3 | 11 |