#3 Duncan Blythe on AI Inside Your Database, Real-Time AI, Declarative ML/AI
How AI Is Built
Efficient Database Configuration for Text Extraction and Analysis
Configuring a database for text search and analysis involves creating a customized data type to handle different file formats, setting up models to extract and insert chunks into the database, configuring a model to turn these chunks into vectors, and integrating the final model with language models for search. The flexibility of the system allows for easy updates and version control, with the ability to swap out parameters like chunk size seamlessly. This approach is akin to a Terraform for AI at the database level, enabling users to efficiently handle text data through a structured and customizable process.
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