Stop choosing between smart search and private data
📰 Dev.to · zahraarmantech
Learn how to implement private and smart search functionality without compromising data privacy
Action Steps
- Build a vector database to store document embeddings
- Configure a search algorithm to query the database without exposing the embeddings
- Test the search functionality with a sample dataset
- Apply differential privacy techniques to further protect the data
- Compare the performance of different search algorithms on private data
Who Needs to Know This
Developers and data scientists on a team can benefit from this approach to balance search functionality with data privacy concerns
Key Insight
💡 Private and smart search can coexist with the right techniques and tools
Share This
🔍 Implement smart search without sacrificing data privacy! 📊
Key Takeaways
Learn how to implement private and smart search functionality without compromising data privacy
Full Article
A few months ago I built a way to search documents by meaning while keeping the embeddings hidden —...
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