@Catweazle @Vivaldi
“I use it mostly for image searches where Andi isn't so good for.”

I used #DuckDuckGo_Search for that.
TBH, #AndiSearch usually seems a little better at #image_search than #BraveSearch (I am using #AndiSearch these days and comparing it with #BraveSearch to decide on one of them). What I don't like at #AndiSearch is that it's slower than #BraveSearch, and that it doesn't display at least an animation to show that images are loading…

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Teach your LLM to always answer with facts not fiction

A vector database that supports Structured Query Language can store more than vectors. Common data types like timestamps and arrays can be accessed and filtered within the database, which improves the accuracy and efficiency of vector search queries. Accurate results from the database can teach LLMs to speak with facts, which reduces hallucination and enhance the quality and credibility of answers from LLM.

Any examples of using SIFT (or SURF or ORB) in #OpenCV to retrieve similar images from a DB? All the code I see is just comparing two images’ features at a time. If you have 1,000 images and you want the closest, what do you do? #cv2 #image_search