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# Einstein AI Connector 1.1

> For the full documentation index, see: https://docs.mulesoft.com/llms.txt

Anypoint Connector for Einstein AI (Einstein AI Connector) provides connectivity to LLMs via the
Salesforce Einstein Trust Layer.

Einstein AI Connector offers a range of advanced features that simplify and enhance AI integration
in MuleSoft applications.

Use this connector to:

- Build AI Agents in a low-code environment

- Leverage existing investments (APIs, integrations, and templates) as tooling for the AI agents

- Manage all Large Language Model (LLM) interactions through the Salesforce Einstein Trust Layer

- Generate vector embeddings to power RAG-based architectures

For information about compatibility and fixed issues, see the Einstein AI Connector release notes.

## Before You Begin

To use this connector, you must be familiar with:

- Anypoint Connectors

- Mule runtime engine (Mule)

- Elements and global elements in a Mule flow

- How to create a Mule app using Anypoint Code Builder or Anypoint Studio

Before creating an app, you must have:

- Java 8 or 17

- Apache Maven

- Connected App credentials to connect with your Salesforce org

- Anypoint Platform

- The latest versions of Anypoint Code Builder or Anypoint Studio

To configure the connector, you must create a Connected App in Salesforce. For more information, see
[Models API Developer Guide](https://developer.salesforce.com/docs/ai/agentforce/guide/models-api.html).

## Common Use Cases for the Connector

These are some common use cases for Einstein AI Connector:

- Enhance customer service by providing case summaries, case classifications, large dataset
  summaries, and more.

- Assist sales teams in writing sales emails, summarizing cases for specific accounts, assessing the
  probability of closing deals, and more.

- Support marketing teams in generating product descriptions, creating newsletters, planning social
  media campaigns, and more.

- Generate embeddings of text data to support sentiment analysis and natural language understanding
  applications.

## Next Step

After you complete the prerequisites, you are ready to create an app and configure the connector
using [Anypoint Studio](https://docs.mulesoft.com/einstein-ai-connector/1.1/einstein-ai-connector-studio) or
[Anypoint Code Builder](https://docs.mulesoft.com/einstein-ai-connector/1.1/einstein-ai-connector-config-acb).

## See Also

- [Introduction to Anypoint Connectors](https://docs.mulesoft.com/connectors/introduction/introduction-to-anypoint-connectors)

- [Using Anypoint Code Builder to Configure a Connector](https://docs.mulesoft.com/connectors/introduction/intro-config-use-acb)

- [Using Studio to Configure a Connector](https://docs.mulesoft.com/connectors/introduction/intro-config-use-studio)

- [Einstein AI Connector Reference](https://docs.mulesoft.com/einstein-ai-connector/1.1/einstein-ai-connector-reference)

- [Einstein AI Connector - Additional Configuration Information](https://docs.mulesoft.com/einstein-ai-connector/1.1/einstein-ai-additional-config)

- [Salesforce Help](https://help.salesforce.com)