# Activeloop

## Activeloop API

- [Activeloop](https://docs.activeloop.ai/activeloop.md): Agentic Reasoning on Your Multimodal Data
- [Quickstart](https://docs.activeloop.ai/setup/quickstart.md): Upload a document and run a query. All within minutes.
- [Storage & Credentials](https://docs.activeloop.ai/storage-and-credentials.md)
- [Models & Pricing](https://docs.activeloop.ai/models-and-pricing.md): Managed cloud cost is based on consumption for compute and tiered for storage.
- [Ingesting with Metadata](https://docs.activeloop.ai/user-guide/ingesting-with-metadata.md): This guide covers how to upload multiple documents to Activeloop and interact with your data through the Chat Completions API.
- [Modalities](https://docs.activeloop.ai/user-guide/ingesting-with-metadata/modalities.md): You can upload the following document types
- [Filtering Query](https://docs.activeloop.ai/user-guide/filtering-query.md): This section provides a detailed guide to the filter expression syntax, a lightweight query language for filtering data.
- [Query Syntax](https://docs.activeloop.ai/user-guide/filtering-query/query-syntax.md): Cheatsheet for filtering the data
- [Streaming Output](https://docs.activeloop.ai/user-guide/streaming-output.md)
- [Structure Output](https://docs.activeloop.ai/user-guide/structure-output.md)
- [Integrating MCP](https://docs.activeloop.ai/integrating-mcp.md)
- [Customizing models](https://docs.activeloop.ai/customizing-models.md)
- [Chat Completions](https://docs.activeloop.ai/api-reference/chat-completions.md)
- [Files](https://docs.activeloop.ai/api-reference/files.md)
- [Workspaces](https://docs.activeloop.ai/api-reference/workspaces.md)


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on a page URL with the `ask` query parameter:
```
GET https://docs.activeloop.ai/activeloop.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.