Building a Local Identity Resolution Engine with Neo4j, Python, and Ollama
📰 Dev.to AI
Building a local identity resolution engine using Neo4j, Python, and Ollama to resolve fragmented user identifiers
Action Steps
- Store fragmented user identifiers in Neo4j
- Generate synthetic overlapping user data
- Use recursive Cypher traversals to resolve hidden identity links
- Integrate Ollama to translate natural language into Cypher
- Expose the workflow through a user interface or API
Who Needs to Know This
Data scientists and software engineers can benefit from this project as it provides a scalable solution for identity resolution, and product managers can leverage this technology to improve customer data management
Key Insight
💡 Identity resolution can be effectively solved as a graph problem using Neo4j and Cypher traversals
Share This
💡 Build a local identity resolution engine with Neo4j, Python, and Ollama to resolve fragmented user IDs
DeepCamp AI