Imagine having a system that allows you to process SQL queries with semantic operators. Sounds fascinating, right? Well, that’s exactly what the team behind ThalamusDB is working on. They’ve created a system that enables you to query image collections using SQL, and it’s more powerful than you think.
For instance, you can use a query like `SELECT COUNT(*) FROM Cars C WHERE nlfilter(C.picture, ‘this is a red car’);` to count the number of pictures of red cars in your database. The `nlfilter` function is a semantic operator that uses natural language processing to evaluate the image and determine if it matches the description.
ThalamusDB uses large language models (LLMs) to evaluate these semantic operators on text, images, or audio files. It’s built on top of DuckDB, which means it supports all standard SQL operations. One of the unique features of ThalamusDB is its deterministic approximate processing, which allows it to return partial results even before all data is processed.
The code is open-source and available on GitHub, and you can also check out the website for more information. The team is still in the early stages and is looking for feedback, so if you have any comments or suggestions, don’t hesitate to reach out.
This technology has the potential to revolutionize the way we interact with image collections, making it easier to search, filter, and analyze visual data. It’s an exciting development, and we can’t wait to see where it goes from here.