Session
K-nearest-neighbor Query and How to Use It with Firebase
In recent years, semantic search powered by artificial intelligence has moved from academic theory to production-ready tools.
In this talk, we'll explore how to integrate vector search into Firebase projects, starting from the core concepts all the way to concrete implementation. We'll see how to store embeddings, configure an index, and run similarity-based queries.
Camillo Bucciarelli
Industrialization Architect @ Sopra Steria
Pescara, Italy
Links
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