Welcome to MuleSoft AI Chain (MAC) Project - your gateway to integrating advanced AI capabilities into the MuleSoft ecosystem! Discover our projects, explore best practices, and join our thriving community.
| Link | Description |
|---|---|
| MuleSoft AI Chain Connector | The MuleSoft AI Chain connector for integrating LangChain4j capabilities into MuleSoft. |
| MAC Inference Connector | The MAC Inference connector for integrating LLM Inference APIs into MuleSoft. |
| MAC Vectors Connector | The MAC Vectors connector for connecting to Vector Databases. |
| MAC Whisperer | MAC Whisperer Repository |
| MAC WebCrawler | MAC WebCrawler Repository |
| Amazon Bedrock | Amazon Bedrock Connector |
| Einstein Connector | The MAC Einstein AI connector for integrating Salesforce Einstein Trust Layer and Models capabilities into MuleSoft. |
| MAC Example Applications | Example MuleSoft applications |
Inspired by LangChain4j, MuleSoft AI Chain leverages the power of MuleSoft to provide seamless integration of AI Agents into the Anypoint Platform. Our mission is to enable MuleSoft users to easily design, build, and manage AI-driven solutions with minimal effort.
Our flagship project integrates LangChain4j capabilities into MuleSoft, allowing for:
- Easier interaction with LLMs and Vector Stores
- Optimized usage in MuleSoft applications
- Access to a wide range of AI Services, Tools, and Chains
- Dynamic and Flexible Tooling: Enabled through configuration files and Anypoint Exchange.
- AI Lifecycle Management: Comprehensive management of AI Agents' lifecycle within the Anypoint Platform.
- Centralized AI Agent Design: Utilizing the Anypoint Design Center.
- AI Agent Monitoring: Leveraging Anypoint Monitoring and Visualizer.
- Low Code Development: Supported by Anypoint Studio and Anypoint Code Builder.
- Unit Testing: Integrated MUnit framework for robust testing.
- LinkedIn Group: Join our LinkedIn Group
- YouTube Playlist: Subscribe to our YouTube Playlist
We're always on the lookout for contributors. If you have a MuleSoft story to tell, a best practice to share, or a tutorial to teach, consider writing for MAC Project! Check out our Contributor's Guide for more information.
