# Knowledge Management

**Introduction**\
Efficient knowledge management is crucial for any organization. With Calk, you can create AI agents that integrate with your knowledge base to deliver insights, summaries, and instant answers. These agents are designed to make information accessible, actionable, and reliable.

**Use Cases**\
Here’s how Calk can transform your knowledge workflows:

| Use Case                       | Mision                                                                                                |
| ------------------------------ | ----------------------------------------------------------------------------------------------------- |
| Internal Information Retrieval | Instantly access or summarize any document in your knowledge base using tailored Calk agents.         |
| Generic Web Search Engine      | Access AI-powered answers by extending searches beyond internal resources to external websites.       |
| Ask a Team                     | Create an assistant to centralize expertise, providing employees with quick answers to their queries. |
| Ask a FAQ                      | Deploy a conversational FAQ agent to make organizational documents more accessible.                   |

## Retrieval of information 

Let your @Infoseeker assistant find the information about something for you

<figure><img src="/files/45kOd05F5nlzdgm83IsH" alt=""><figcaption></figcaption></figure>

## WebSearcher

Have a personal web searcher as an assistant to incorpate it in your AI workflow.

<figure><img src="/files/NSnKK4GWr5UUhi24fDFL" alt=""><figcaption></figcaption></figure>

Ask a FAQ

<figure><img src="/files/VxUUxKVKk61mDNeoxy0z" alt=""><figcaption></figcaption></figure>


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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.calk-ai.com/use-case/knowledge-management.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.