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Combining Text-to-SQL with Semantic Search for Retrieval Augmented Generation

Combining Text-to-SQL with Semantic Search for Retrieval Augmented Generation

A new query engine called SQLAutoVectorQueryEngine combines structured data from SQL databases and unstructured data from vector databases to fulfill complex natural language queries. It leverages the expressivity of SQL for structured data and semantic search for unstructured data. This engine allows for powerful querying capabilities that utilize both types of data, enabling better insights and more accurate responses.


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