# langchain4j-workflow-examples

**Repository Path**: logicjwell/langchain4j-workflow-examples

## Basic Information

- **Project Name**: langchain4j-workflow-examples
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 1
- **Created**: 2025-01-11
- **Last Updated**: 2025-01-11

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# LangChain4j-workflow Examples
This repo have multiple advanced LLM examples using `langchain4j-workflow` and `langchain4j` libs.

## LLM examples
Please note that examples can be modified and more examples will be added over time.

### MoA
- **Mixture-of-Agents (MoA)**:
    - Java example: [`langchain4j-moa`](langchain4j-moa)
    - Based on Paper: https://arxiv.org/pdf/2406.04692
  
### RAG
- **Corrective RAG (CRAG)**:
    - Java example: [`langchain4j-corrective-rag`](langchain4j-corrective-rag)
    - Based on Paper: https://arxiv.org/pdf/2401.15884
- **Adaptive RAG**:
    - Java example: _Very soon_
    - Based on Paper: https://arxiv.org/pdf/2403.14403
- **Self RAG**:
    - Java example: _Very soon_
    - Based on Paper: https://arxiv.org/pdf/2310.11511
- **Modular RAG**:
    - Java example: _Very soon_
    - Based on Paper: https://arxiv.org/pdf/2312.10997v1

### Agent Architectures
- **Multi-agent Collaboration**:
    - Java example: _Very soon_
    - Based on Paper: https://arxiv.org/pdf/2308.08155
- **Agent Supervisor**:
    - Java example: _Very soon_
    - Based on Paper: https://arxiv.org/pdf/2308.08155
- **Planning Agents**:
    - Java example: _Very soon_
    - Based on Paper: https://arxiv.org/pdf/2305.04091

### Put more examples here.. 

## How contribute?
If you want to contribute with more examples, please follow the steps below:
- Fork this repo
- Create a new branch
- Add your example
- Create a PR
- Wait for the review
- After revision your PR can be merged =)
- Done!

Thank you for your contribution! 🚀