Building AI and ML applications with Xano using Embeddings

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Vector Embeddings in Xano, powered by pgVector, allow you to store embeddings inside of your Xano database and use them in queries. Vector embeddings are a crucial element in using AI and ML models to determine complex data relationships and semantics. In this video, we'll go over how vectors work and show you how to use them in Xano.

00:00 Intro
01:03 The Vector Database Field
03:53 Generating Embeddings in a Function Stack
05:30 Indexing a Vector Field
06:44 Using Embeddings in a Function Stack
13:48 A Visual Vectors Walkthrough
16:01 Outro

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Awesome Video! great stuff and very helpful. Keep the videos coming

johnnyhacking

That’s amazing! I’ve been using Pinecone with Xano, but the process wasn’t great. Having this natively integrated in Xano is truly a game changer 👏🏼

alexxlem

This is amazing. Next Step would be how to create a chat memory like inhouse or connecting with REDIS.

exlfactory

Great tutorial Chris, I was able to follow along and get this working quite easily. I think I might have spotted one mistake though. In the video you say that we should sort the results of the embedding search in ascending order. This would mean we get results from least to most relevant. I tested this out and found that ascending order gives me irrelevant results and descending order (highest similarity value to lowest) works as expected. Maybe you could update the docs to clarify this to people?

GregBarrett-rqdm

Hi Chris, thank you for the knowledge you provide, the community would appreciate it very much if you make a tutorial on how we can resell Gemini tokens now that this AI is booming, and as Xano can help us manage that process in our app, thanks in advance, successes friend

QUEPASARIASI-jn

I'd like to request a tutorial on Vectorshift and Xano, focusing on how to integrate these platforms effectively for my development projects. Cheers

Anunaka

How can we make APIs that perform CRUD opration, and how can we use this API in my realworld App and web, I mean How can we add this api in firebase with webflow and flutterflow too

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