langchain4j-rag-implementation-patterns SKILL.md skillA
langchain4j-rag-implementation-patterns from giuseppe-trisciuoglio/developer-kit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add giuseppe-trisciuoglio/developer-kit/langchain4j-rag-implementation-patterns@git:20260324.a02e282Pins git:20260324.a02e282 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- giuseppe-trisciuoglio/developer-kit
- Path
plugins/developer-kit-java/skills/langchain4j-rag-implementation-patterns/SKILL.md- Versions recorded
- 5
- Latest version
- git:20260324.a02e282, committed Mar 24, 2026
- First version recorded
- Feb 7, 2026
- Size
- 13,063 bytes
- Repository stars
- 367
- License
- MIT
Provides Retrieval-Augmented Generation (RAG) implementation patterns with LangChain4j for Java. Generates document ingestion pipelines, embedding stores, vector search, and semantic search capabilities. Use when building chat-with-documents systems, document Q&A over PDFs or text files, AI assistants with knowledge bases, semantic search over document repositories, or knowledge-enhanced AI applications with source attribution.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# LangChain4j RAG Implementation Patterns
## Overview
Implements RAG systems with LangChain4j: document ingestion pipelines, embedding stores, and vector search for chat-with-documents and knowledge-enhanced AI applications.
## When to Use This Skill
- Building chat-with-documents systems or document Q&A over PDFs, text files, or web pages
- Creating AI assistants with access to company knowledge bases or external sources
- Implementing semantic search or hybrid search over document repositories
- Building domain-specific AI with curated knowledge and source attribution
## Instructions
### Initialize RAG Project
Create a new Spring Boot project with required dependencies:
**pom.xml**:
```xml
<dependency>
<groupId>dev.langchain4j</groupId>
<artifactId>langchain4j-spring-boot-starter</artifactId>
<version>1.8.0</version>
</dependency>
<dependency>
<groupId>dev.langchain4j</groupId>
<artifactId>langchain4j-open-ai</artifactId>
<version>1.8.0</version>
</dependency>
```
### Setup Document Ingestion
Configure document loading and processing with validation:
…Read the whole file at its exact version.
How to install
mdr add giuseppe-trisciuoglio/developer-kit/langchain4j-rag-implementation-patterns@sha256:b005d76cc11c83e0The line at the top of this page pins the label git:20260324.a02e282, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_zqo3463jhl67hps7)
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Versions
The registry has recorded 5 versions of this file, between Feb 7, 2026 and Mar 24, 2026, about one every 11 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260324.a02e282 latest | 2026-03-24 | a02e282 | 13,063 B | A | view · diff |
| git:20260223.c6d4db1 | 2026-02-23 | c6d4db1 | 11,932 B | A | view · diff |
| v1.1.0 | 2026-02-08 | 147afce | 12,081 B | A | view · diff |
| v1.1.0 | 2026-02-07 | 1a732c7 | 10,953 B | A | view · diff |
| v1.1.0 | 2026-02-07 | 654d94d | 10,936 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (13063 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
giuseppe-trisciuoglio/developer-kit · 367 stars · license MIT · pushed 2026-09-10 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_zqo3463jhl67hps7 GET https://markdownregistry.com/api/v1/resolve?ref=giuseppe-trisciuoglio/developer-kit/langchain4j-rag-implementation-patterns GET https://markdownregistry.com/api/v1/blob/b005d76cc11c83e04e27d0335bac4a3635e9e64da152c350d459d5c07fd38c87
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