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106 lines
3.6 KiB
Markdown
106 lines
3.6 KiB
Markdown
---
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title: Salesforce Mulesoft
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---
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# Salesforce Mulesoft
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[MuleSoft Anypoint](https://www.salesforce.com/in/mulesoft/anypoint-platform/) is an integration platform to connect applications, data, and devices across on-premises and cloud environments. It provides a unified platform to build, manage, and secure APIs and integrations, making digital transformation smoother and more scalable.
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[MAC Project](https://mac-project.ai) is an open-source initiative to bring AI capabilities into the MuleSoft ecosystem. It provides connectors to add AI capabilities to an Anypoint project by integrating LLMs, vector databases including Qdrant.
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## Setup
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To use Qdrant with Anypoint, you can install the [Mulesoft Vectors connector](https://mac-project.ai/docs/ms-vectors). Paste the following Maven Dependency into your Mule application pom file.
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```xml
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<dependency>
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<groupId>io.github.mulesoft-ai-chain-project</groupId>
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<artifactId>mule4-vectors-connector</artifactId>
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<version>0.3.0</version>
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<classifier>mule-plugin</classifier>
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</dependency>
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```
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The project will now rebuild with the connector. You also need to install the optional dependencies for the Qdrant connector.
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```xml
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<?xml version="1.0" encoding="UTF-8"?>
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<project xmlns="..." >
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...
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<build>
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<plugins>
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...
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<plugin>
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<groupId>org.mule.tools.maven</groupId>
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<artifactId>mule-maven-plugin</artifactId>
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<version>4.3.0</version>
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<extensions>true</extensions>
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<configuration>
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<additionalPluginDependencies>
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<plugin>
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<groupId>io.github.mulesoft-ai-chain-project</groupId>
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<artifactId>mule4-vectors-connector</artifactId>
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<additionalDependencies>
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<!-- QDRANT CONNECTOR DEPENDENCY -->
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<dependency>
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<groupId>dev.langchain4j</groupId>
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<artifactId>langchain4j-qdrant</artifactId>
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<version>0.35.0</version>
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</dependency>
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<!-- QDRANT CONNECTOR DEPENDENCY -->
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</additionalDependencies>
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</plugin>
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</additionalPluginDependencies>
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</configuration>
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</plugin>
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</plugins>
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</build>
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...
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</project>
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```
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## Usage
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The MuleSoft Vectors connector is shipped with 3 different categories of operations: Document, Embedding and Store. For each category a dedicated configuration must be defined.
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The store configuration allows to pick-up the right vector store option among the available ones. When configuring the connection to a specific vector store it's also possible to test it.
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Go to the `Global Elements` in your MuleSoft project, and create a new configuration. In the `Connector Configuration`, you will find the `MuleSoft Vectors Connector Store` config.
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Upon selecting `Qdrant`, you'll be presented with the following parameters to set up the connection to a Qdrant instance.
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Once a connection is set up, you can now use the following Qdrant operations in your workflows.
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### Store Add
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The Add operation adds a document or text to a collection.
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### Store List
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The List sources operation lists all entries in a collection.
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### Store Query
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The Query operation retrieves information from a collection based on a query a embedding and an optional filter.
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### Store Remove
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The Remove operation remove all entries from a collection based on a filter.
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## Further reading
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- [Mulesoft Anypoint Studio](https://docs.mulesoft.com/studio/latest/)
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- [MAC Project](https://mac-project.ai)
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