Tutorial: Knowledge Graph Extraction #167
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Pull Request Overview
This PR adds a new tutorial for knowledge graph extraction to the documentation. The tutorial teaches users how to build a Hypermode Agent that extracts product data from Product Hunt, enriches it with LinkedIn insights, and stores it as a knowledge graph in Neo4j.
- Adds a comprehensive tutorial covering knowledge graph extraction using Product Hunt and LinkedIn data
- Updates navigation to group tutorials together with standardized naming
- Removes "Tutorial:" prefix from sidebar titles for cleaner navigation
Reviewed Changes
Copilot reviewed 4 out of 18 changed files in this pull request and generated 1 comment.
| File | Description |
|---|---|
| agents/knowledge-graph-extraction.mdx | New 599-line tutorial explaining how to build a knowledge graph extraction agent |
| docs.json | Updates navigation structure to group tutorials and adds reference to new tutorial |
| semantic-search.mdx | Removes "Tutorial:" prefix from sidebar title for consistency |
| first-hypermode-agent.mdx | Removes "Tutorial:" prefix from sidebar title for consistency |
johnymontana
approved these changes
Jul 30, 2025
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