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Original rewrites on React, Node.js, TypeScript and AI — practical notes from the same engineering practice behind our operator software. Article bodies are in English.
Tagged: langchain4j
Do Small-Scale RAG Apps Really Need a Vector Database? Exploring LangChain4j
Operable walkthrough of Do Small-Scale RAG Apps Really Need a Vector Database? Exploring LangChain4j: contracts, checks, and drop-in code slots for teams shipping this pattern.
1239 wordsRead articlePractical notes: Java AI in 2026, LangChain4j Turns Agents into Ordinary
Operable walkthrough of Practical notes: Java AI in 2026, LangChain4j Turns Agents into Ordinary: contracts, checks, and drop-in code slots for teams shipping this pattern.
1587 wordsRead articlePractical notes: Mastering Neo4j & LangChain4j: GraphRAG, Persistent AI Memory
Operable walkthrough of Practical notes: Mastering Neo4j & LangChain4j: GraphRAG, Persistent AI Memory: contracts, checks, and drop-in code slots for teams shipping this pattern.
5031 wordsRead articleSpring AI vs LangChain4j: same RAG, different hidden choices
Twin Java RAG builds on one handbook showed line-count gaps shrink with Spring integration—and a wrong leave answer exposed chunking defaults.
736 wordsRead article
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