Join us

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.


Let's keep in touch!

Stay updated with my latest posts and news. I share insights, updates, and exclusive content.

Unsubscribe anytime. By subscribing, you share your email with @faun and accept our Terms & Privacy.

Give a Pawfive to this post!


Only registered users can post comments. Please, login or signup.

Start writing about what excites you in tech — connect with developers, grow your voice, and get rewarded.

Join other developers and claim your FAUN.dev() account now!

Avatar

The FAUN

FAUN.dev()

@faun
The FAUN watches over the forest of developers. It roams between Kubernetes clusters, code caves, AI trails, and cloud canopies, gathering the signals that matter and clearing out the noise.
Developer Influence
3k

Influence

302k

Total Hits

3712

Posts