Launching AI products with Braintrust’s CEO Ankur Goyal
No Priors: Artificial Intelligence | Technology | Startups
Embrace the Shift: From SQL to Semantic Search
Data strategies must evolve to address the demands of AI, which involves processing extensive text data rather than relying solely on structured data and SQL queries. Leading companies now utilize embeddings and models for efficiently navigating vast information, such as customer support tickets, that often lack representation in traditional datasets. This shift signals a movement away from standard relational database approaches towards embedding-centric querying, challenging the relevance of conventional OLAP workloads. Traditional databases may adapt by incorporating advanced indexing methods, yet the integration of semantic search with standard data warehouse architectures requires a more fundamental transformation.
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