Conversational Data Analytics with SQL Embeddings

1. 1Use SQL embeddings to make your data warehouse's 'analytics brain' searchable and reusable
2. 2Separate retrieval and generation of queries to improve efficiency
3. 3Pass domain and metric hints to improve the accuracy of query results
4. 4Apply natural-language questions to previously validated query patterns to simplify analytics

Data scientists and analysts on a team can benefit from this approach as it allows for more efficient and effective data analysis, while product managers can leverage it to inform business decisions

💡 SQL embeddings enable natural-language questions to map onto previously validated query patterns, making data analysis more efficient

💡 Use SQL embeddings to turn your data warehouse into a conversational analytics brain