# Turn your Documentation into a Queryable Knowledge Graph

DevFeed: [Turn your Documentation into a Queryable Knowledge Graph](<https://devfeed.tech/articles/turn-your-documentation-into-a-queryable-knowledge-graph-80328.md>)

Original publisher: [Read original article](<https://dlthub.com/blog/graph-workshop>)

Author: Hiba Jamal

Published: 2025-07-07T00:00:00Z

Content type: tutorial

Language: en

Sources: [DLT Hub](<https://devfeed.tech/sources/dlt-hub.md>)

Topics: [knowledge-engineering](<https://devfeed.tech/topics/knowledge-engineering.md>), [graph-database](<https://devfeed.tech/topics/graph-database.md>), [AI Context Management](<https://devfeed.tech/topics/ai-context-management.md>)

Tags: [api](<https://devfeed.tech/tags/api.md>), [documentation](<https://devfeed.tech/tags/documentation.md>), [knowledge-graph](<https://devfeed.tech/tags/knowledge-graph.md>), [rag](<https://devfeed.tech/tags/rag.md>), [tutorials](<https://devfeed.tech/tags/tutorials.md>)

## AI overview

The video workshop demonstrates how dlt and Cognee turn API documentation and structured data into queryable knowledge graphs. It covers entity relationships, ontologies, precise retrieval, and production deployment, with examples using Slack, PayPal, and TicketMaster documentation.

## Source excerpt

Using dlt + Cognee, we take API docs from Slack, PayPal, and TicketMaster and built a knowledge graph.