Vibe Coding Discoverai-engineering-hub
View on GitHubIn-depth tutorials on LLMs, RAGs and real-world AI agent applications.
A large collection of hands-on Jupyter-notebook tutorials and runnable demos covering LLM apps, RAG pipelines, AI agents, MCP servers, fine-tuning and model evaluation. Best used as a learning/reference library of practical examples rather than a single installable product.
Use Cases
Learn to build RAG pipelinesBuild multi-agent research assistantsCreate MCP servers for CursorFine-tune LLMs with UnslothBuild reasoning models with GRPOOCR from images with vision LLMsChat with documents, code, audio and videoEvaluate and observe RAG/agent systemsBuild real-time voice agentsAutomate content and social workflowsCompare frontier coding modelsGenerate AI podcasts and avatars
Built With
- Language
- Jupyter Notebook
- Frameworks
- CrewAI · LlamaIndex · Streamlit · Chainlit · Ollama · AutoGen · Firecrawl · MCP · Qdrant · Milvus · Unsloth · Zep · Graphiti · Opik · AssemblyAI · LangChain
Tags
tutorials · llm · rag · agents · mcp · multi-agent · fine-tuning · multimodal · vector-database · evaluation · voice-agents · learning-resource · deepseek · ocr · jupyter-notebooks · production-examples