# Agent External Retriever Skill

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## Ability to have multiple Retrievers per Agent

You have the ability to add and setup multiple External Retrievers per AI Agent.

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## Ability to choose the Retriever Type

Choosing an external retriever type, like Pinecone, allows your AI system to efficiently access and query large-scale vector databases for relevant information. This enhances retrieval accuracy, performance, and scalability, especially in applications requiring fast semantic search or context-aware responses.

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## Customizable Retriever Name

You're able to freely customize the Retriever name for whatever purpose.

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## API Key

An API Key is essential in the external retriever setup because it securely authenticates your connection to third-party services or databases. It ensures only authorized access to external content sources, enabling your AI to retrieve accurate, real-time information while protecting sensitive data.

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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.raiaai.com/raia-cx/agent-skills/agent-external-retriever-skill.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.