SQLite as a Graph Database: Recursive CTEs, Semantic Search, and Why We Ditched Neo4j
📰 Dev.to · Rohan Sharma
Learn how to use SQLite as a graph database with recursive CTEs and semantic search, and why it can be a viable alternative to Neo4j
Action Steps
- Build a knowledge graph using SQLite and recursive Common Table Expressions (CTEs)
- Run semantic search queries on the graph using SQL
- Configure SQLite to optimize graph queries
- Test the performance of SQLite against Neo4j for your specific use case
- Apply graph algorithms to analyze and visualize the knowledge graph
Who Needs to Know This
Developers and data engineers working with AI agent frameworks can benefit from this approach to build and query knowledge graphs efficiently
Key Insight
💡 SQLite can be a viable alternative to Neo4j for building and querying knowledge graphs, especially when combined with recursive CTEs and semantic search
Share This
💡 Use SQLite as a graph database with recursive CTEs and semantic search! Ditch Neo4j and build efficient knowledge graphs for your AI agent frameworks
Key Takeaways
Learn how to use SQLite as a graph database with recursive CTEs and semantic search, and why it can be a viable alternative to Neo4j
Full Article
Knowledge graphs are having a moment. Every AI agent framework wants one. The typical stack looks...
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