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| build RAG systems |[LlamaIndex](tutorials/llamaindex-tutorial/)|[Haystack](tutorials/haystack-tutorial/) → [RAGFlow](tutorials/ragflow-tutorial/)|
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| run LLMs locally or at scale |[Ollama](tutorials/ollama-tutorial/)|[llama.cpp](tutorials/llama-cpp-tutorial/) → [vLLM](tutorials/vllm-tutorial/) → [LiteLLM](tutorials/litellm-tutorial/)|
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| build AI apps with TypeScript/Next.js |[Vercel AI SDK](tutorials/vercel-ai-tutorial/)|[CopilotKit](tutorials/copilotkit-tutorial/) → [LobeChat](tutorials/lobechat-ai-platform/)|
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| build AI apps with TypeScript/Next.js |[Vercel AI SDK](tutorials/vercel-ai-tutorial/)|[CopilotKit](tutorials/copilotkit-tutorial/) → [LobeChat](tutorials/lobechat-tutorial/)|
| Learn search and retrieval systems |[MeiliSearch](../tutorials/meilisearch-tutorial/)|[Chroma](../tutorials/chroma-tutorial/) → [LanceDB](../tutorials/lancedb-tutorial/)|
| Learn production K8s control loops |[Kubernetes Operators](../tutorials/kubernetes-operator-tutorial/)|[n8n MCP](../tutorials/n8n-mcp-tutorial/)|
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| Learn web-scale data extraction |[Firecrawl](../tutorials/firecrawl-tutorial/)|[OpenHands](../tutorials/openhands-tutorial/) for autonomous SWE workflows |
| Build AI apps with TypeScript |[Vercel AI SDK](../tutorials/vercel-ai-tutorial/)|[CopilotKit](../tutorials/copilotkit-tutorial/) → [LobeChat](../tutorials/lobechat-ai-platform/)|
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| Build AI apps with TypeScript |[Vercel AI SDK](../tutorials/vercel-ai-tutorial/)|[CopilotKit](../tutorials/copilotkit-tutorial/) → [LobeChat](../tutorials/lobechat-tutorial/)|
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@@ -139,11 +139,11 @@ Recommended tutorials:
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- Build robust AI product features with vercel/ai, including streaming, structured outputs, tool loops, framework integration, and production deployment patterns.
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-[CopilotKit Tutorial: Building AI Copilots for React Applications](https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/copilotkit-tutorial/README.md)
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- Create in-app AI assistants, chatbots, and agentic UIs with the open-source CopilotKit framework.
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-[LobeChat AI Platform: Deep Dive Tutorial](https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/lobechat-ai-platform/README.md)
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-[LobeChat AI Platform: Deep Dive Tutorial](https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/lobechat-tutorial/README.md)
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- LobeChat — An open-source, modern-design AI chat framework for building private LLM applications.
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-[Flowise LLM Orchestration: Deep Dive Tutorial](https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/flowise-llm-orchestration/README.md)
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-[Flowise LLM Orchestration: Deep Dive Tutorial](https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/flowise-tutorial/README.md)
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- Flowise — An open-source visual tool for building LLM workflows with a drag-and-drop interface.
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-[Dify Platform: Deep Dive Tutorial](https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/dify-platform-deep-dive/README.md)
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-[Dify Platform: Deep Dive Tutorial](https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/dify-tutorial/README.md)
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- Dify — An open-source LLM application development platform for building workflows, RAG pipelines, and AI agents with a visual interface.
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-[Open WebUI Tutorial: Self-Hosted AI Workspace and Chat Interface](https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/open-webui-tutorial/README.md)
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- Learn how to run and operate open-webui/open-webui as a self-hosted AI interface with model routing, RAG workflows, multi-user controls, and production deployment patterns.
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