# Workflow

The GraphAI workflow consists of several key stages:

1. Data Ingestion: Continuous indexing of blockchain data
2. Sub-Index Creation: User-defined creation of specialized data subsets
3. Vector Database Storage: Efficient storage of sub-indexes for AI operations
4. Knowledge Graph Integration: Mapping relationships and context within the data
5. MCP Access: Enabling developers to query and utilize the processed data
6. AI/LLM Application Development: Creation of intelligent dApps leveraging GraphAI's capabilities

<figure><img src="/files/w3v97vzNcprRaLFxvfJY" 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://graphai-1.gitbook.io/graphai/how-graphai-works/workflow.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.