> For the complete documentation index, see [llms.txt](https://graphai-1.gitbook.io/graphai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://graphai-1.gitbook.io/graphai/how-graphai-works/workflow.md).

# 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="https://2049355549-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FzmBKBYuDHMhk4aXv9vJw%2Fuploads%2FZ4CW0zP4SERyXEd0kbxj%2Fimage.png?alt=media&amp;token=b14fa1d2-dcf3-424c-bba3-f7e77c082914" alt=""><figcaption></figcaption></figure>