Huige
A technology content creator on Bilibili who focuses on teaching Java backend development and AI application development. The channel publishes a practical course series on LangChain4j.
Timeline (last 90 days)
Hui Ge planned three ways to write the LangChain4j RAG hands-on project: pure backend development, writing both frontend and backend, and mainly writing the backend with auxiliary frontend work.
The finally selected approach for the hands-on project is mainly writing the backend with auxiliary frontend work: the backend, starting from opening IDEA, covers the complete chain from creating the database and tables, setting up the basic project, writing code, closing the business loop, to running tests; the frontend directly provides a ready-made page so that learners only need to focus on the interaction logic.
Hui Ge's existing LangChain4j basics course basically covers the knowledge points in the official documentation, and it is recommended to complete it before entering the hands-on project.
This LangChain4j hands-on video series has just begun, and the actual LangChain4j code has not yet been covered; technical details (such as document parsing, vectorization, retrieval chain construction, and prompt template design) await subsequent updates.
All Facts (4)
The finally selected approach for the hands-on project is mainly writing the backend with auxiliary frontend work: the backend, starting from opening IDEA, covers the complete chain from creating the database and tables, setting up the basic project, writing code, closing the business loop, to running tests; the frontend directly provides a ready-made page so that learners only need to focus on the interaction logic.
50%UnverifiedHui Ge's existing LangChain4j basics course basically covers the knowledge points in the official documentation, and it is recommended to complete it before entering the hands-on project.
50%UnverifiedThis LangChain4j hands-on video series has just begun, and the actual LangChain4j code has not yet been covered; technical details (such as document parsing, vectorization, retrieval chain construction, and prompt template design) await subsequent updates.
50%UnverifiedHui Ge planned three ways to write the LangChain4j RAG hands-on project: pure backend development, writing both frontend and backend, and mainly writing the backend with auxiliary frontend work.
50%