# Platform

- [Key Concepts](https://docs.graphlit.dev/platform/key-concepts.md): Core concepts for building AI agents with semantic memory using Graphlit
- [Workflows](https://docs.graphlit.dev/platform/workflows.md): Complete reference for Graphlit workflows - memory formation pipeline configuration
- [Specifications](https://docs.graphlit.dev/platform/specifications.md): Complete reference for Graphlit specifications - AI model configuration and behavior control
- [AI Models](https://docs.graphlit.dev/platform/models.md)
- [Feeds](https://docs.graphlit.dev/platform/feeds.md)
- [Semantic Memory](https://docs.graphlit.dev/platform/semantic-memory.md): Understanding semantic memory for AI - how Graphlit implements true memory systems beyond simple retrieval


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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.graphlit.dev/platform.md?ask=<question>
```

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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.
