databricks-industry-solutions/product-search
Semantic product search on Databricks
Implements multiple search strategies including hybrid vector-keyword matching and learning-to-rank reranking, with optional fine-tuning of embedding models on domain-specific product catalogs. Built on Databricks Vector Search and MLflow, it provides end-to-end deployment patterns from data preparation through inference optimization using pre-trained sentence transformers.
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Python
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Last pushed
Jun 18, 2025
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