langchain4j-rag-pipelines
AI & Machine LearningSigned by SkilVault
Guides implementation of Retrieval-Augmented Generation in Java using LangChain4j, covering document loading and splitting, embedding models, embedding stores, ingest pipelines, metadata filtering, AI services wired to retrievers, and re-ranking. Use when building question answering over document collections, knowledge-base assistants, or semantic search in a Java or Spring Boot codebase. Not for Python LLM tooling, agent orchestration frameworks, or model fine-tuning.
- Version
- v1.0.0
- Size
- 18 KB
- Updated
- 2026-10-06
$ skilvault read --manual langchain4j-rag-pipelinesYour client verifies the signature before reading. This explicit manual read is available on every plan. Free automatically loads five chosen skills; paid plans automatically load relevant skills across the library.