First‑line development experience at multiple leading tech firms; now a software architect at a Shanghai state‑owned enterprise and founder of Programming Yanxuan. Nearly 300k followers online; expertise in distributed system design, AIGC application development, and quantitative finance investing.
This article explains how the LangGraph framework combined with Waii’s text‑to‑SQL and visualization capabilities enables conversational data analysis by automatically generating, optimizing, and executing sophisticated SQL queries from natural language inputs.
This tutorial walks through creating a LangChain tool‑calling agent that combines a real‑time web search tool, a Qdrant vector store for local knowledge retrieval, and a custom Bazi fortune‑telling service, all wrapped in a FastAPI application for interactive use.
This article introduces LangServe, explains its key features for LLM deployment, walks through environment setup, shows how to build a FastAPI‑based REST API with code examples, demonstrates testing via Postman and remote client calls, and summarizes its benefits for AI model serving.
This guide explains why data analysis is essential, breaks it into three core stages—data collection, data mining, and data visualization—offers practical tool recommendations, and presents principles for efficient learning and skill development.
This article presents a contextual retrieval technique that combines contextual embeddings and contextual BM25 to reduce RAG miss rates by up to 67%, explains the underlying methods, implementation steps, cost considerations, experimental results, and practical deployment guidance.
This guide explains how to install the JetBrains AI Assistant plugin, outlines its code‑generation and refactoring features, and provides a practical workaround for mainland China users by adjusting account region, configuring system and IDE proxies, and starting AI‑driven conversations.
The article outlines the twelve preview features introduced in JDK 23, from primitive pattern matching to structured concurrency, and argues that mastering timeless programming principles from Effective Java can help developers adapt to such language evolutions.
This article explains how to extend large language models with domain‑specific knowledge using Retrieval‑Augmented Generation (RAG) in LangChain4j, covering the concepts of RAG, its indexing and retrieval stages, simple RAG setup, detailed API usage, and advanced customization options such as query transformers and content injectors.
This article explains the different low‑level LLM API types in LangChain4j, including LanguageModel, ChatLanguageModel, and other model interfaces, and shows how to create and combine ChatMessage objects for multi‑turn conversations.
This guide explains how to use LangChain4j Spring Boot starters to configure OpenAI models, create declarative AI services with @AiService, and run practical examples such as a customer‑support agent and a simple HelloWorld program, covering required dependencies, properties, and code snippets.
