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AI model integration guides, API tutorials, tech sharing and product updates
Learn LangChain from scratch and build a simple RAG question-answering system.
Without changing code, only modify the base_url and api_key to freely switch between domestic large models such as DeepSeek, GLM, Qwen. Attached are integration examples for LangChain and Vercel AI SDK.
Build a complete AI chat web application with Streamlit in 30 minutes, supporting streaming output, conversation memory, and multi-model switching. Entirely pure Python, zero frontend code.
Objectively compare DeepSeek V4, GLM-5, and Qwen-Plus across four dimensions: reasoning ability, Chinese comprehension, code generation, and price.
10 key lessons summarized from real entrepreneurial experiences, covering technology selection, team building, business model, and financing strategies.
Build an AI Agent from scratch with tool calling, memory management, and autonomous planning capabilities, covering mainstream frameworks such as ReAct and Plan-and-Execute.
In-depth explanation of the design principles and implementation of RAG (Retrieval-Augmented Generation) systems, including vector retrieval, hybrid search, re-ranking, and evaluation framework.
Cursor is currently the most powerful AI programming IDE. This article shares usage tips and best practices.