ONNX Runtime + pgvector in Django: semantic search without PyTorch or external APIs
📰 Dev.to · Matías
Learn to integrate ONNX Runtime and pgvector in Django for semantic search without relying on PyTorch or external APIs
Action Steps
- Install ONNX Runtime and pgvector using pip and add them to your Django project
- Configure pgvector to work with your PostgreSQL database
- Use ONNX Runtime to optimize and run your machine learning models
- Integrate pgvector with ONNX Runtime to enable semantic search
- Test and fine-tune your semantic search implementation
Who Needs to Know This
Developers and data scientists on a team can benefit from this approach to implement efficient semantic search functionality in their Django applications
Key Insight
💡 ONNX Runtime and pgvector can be used together to enable efficient semantic search in Django without relying on PyTorch or external APIs
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🚀 Boost your Django app's search capabilities with ONNX Runtime and pgvector! 🚀
Key Takeaways
Learn to integrate ONNX Runtime and pgvector in Django for semantic search without relying on PyTorch or external APIs
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