From the course: Using AI with Filemaker Pro

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Working with embeddings

Working with embeddings - FileMaker Pro Tutorial

From the course: Using AI with Filemaker Pro

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Working with embeddings

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- [Instructor] Let's add the ability to create embeddings, so that we can perform semantic searches against those embeddings. So, inside of our exercise file, which is a Meetings file, you'll notice that we have this Notes field here, which is a big chunk of text. And what we're going to do is we're going to turn that text into vector embeddings, and that's what we're going to be able to search against. So, first, let's create a field where we can store the vector embeddings. We're going to go in our File, Manage, Database. Inside the Meetings table, let's click in Field Name and add a name for our field. Let's call it Note_Embedding. Now the type of the field is very important. The name doesn't matter so much, you can name it whatever you want, but the type, you can actually make it a Text field, but you'll be storing a lot of data in that field, and in order to search on it, you're going to have to use indexes, and, really, that's not the performant way to do it. The best practice…

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