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Multi Agent | Bridging AI and Integration with Agentforce, Anthropic MCP and MuleSoft AI Chain

Kudos to ‪@shreekanthkyatsandra2825‬ In this healthcare use case, four AI agents deployed on AWS, GCP, and MuleSoft handle tasks related to clinical summary, medication information, and Pneumonia diagnosis, with a Swarm Orchestrator selecting the appropriate agent based on the user's question.

Get started with the latest release of the Vectors Connector! Github Release: github.com/MuleSoft-AI-Chain-Project/mule-vectors-connector/releases/tag/v0.3.0 Connector Documentation: mac-project.ai/docs/ms-vectors/connector-overview 00:00 Intro 1:17 Option1: Maven Central Repository 2:40 Option 2: Maven Local Repository 5:31 Adding extra dependencies 8:51 Connector configurations

In this demo video James Losack shows how to incorporate LLM and other AI services into MuleSoft applications, and how to combine it with MuleSoft IDP (Intelligent Document Processing) as well as other enterprise applications

Kudos to Mihael Bosnjak for building the Agent UI.

Use BYO LLM in Models Builder through AI Chains Einstein Connector

03 - Tools Use Native Template

02 - Agent define Prompt Template

01 Chat completion

00 - Installation and getting started

Kudos to Vibhor Sharma!

Kudos to @shreekanthkyatsandra2825

Kudos to Jovana Vujanić from Dots & Arrows

BYOLLM Integrate into Einstein Trust Layer

Integrate Groq LLMs into Einstein Model Builder

Agentforce MuleSoft AI Chain

AI-assisted candidate screening with MuleSoft AI Chain

Running xLAM (HF.co) on Ollama locally

Retrieval Augmented Generation (RAG) using Tableau Pulse and MuleSoft

Product Agent demo

Error Processing Agent

Building an RAG agent with MuleSoft AI Chain

🧠⚙️ Standard RAG vs Advanced RAG

Getting started with MAC WebCrawler

Podcast to Knowledge

MAC Project Trailer

Multi language Document Processing

Introducing MuleSoft AI Chain Connector v0.3.0 | Step-by-Step Tutorial

Introducing MAC Web Crawler to build powerful knowledge stores