Building a personal knowledge graph with just PostgreSQL (no Neo4j needed)"
📰 Dev.to · Victor García
Learn to build a personal knowledge graph using PostgreSQL, replacing the need for a graph database like Neo4j
Action Steps
- Create two tables in PostgreSQL to store nodes and edges
- Use ALTER statements to add constraints and indexes
- Implement recursive CTEs to query and traverse the graph
- Test and optimize the graph database performance
- Apply this approach to your personal knowledge management system
Who Needs to Know This
Developers and data scientists can benefit from this approach to manage and query complex relationships in their personal knowledge graphs, improving their productivity and data organization
Key Insight
💡 PostgreSQL can be used as a graph database at a personal scale, reducing the need for specialized graph databases like Neo4j
Share This
📈 Build a personal knowledge graph with just PostgreSQL! 🚀 No Neo4j needed!
Key Takeaways
Learn to build a personal knowledge graph using PostgreSQL, replacing the need for a graph database like Neo4j
Full Article
How two tables, three ALTER statements, and recursive CTEs replaced what most people reach for a graph database to do. At personal scale, PostgreSQL is the graph database.
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