Building AI and ML applications with Xano using Embeddings

[@alexxlem]

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 👏🏼

[@LachlanXano]

Vectors + add-ons are like a super power, makes it so easy to create queries and return related data.

[@thejorgemarques]

Was just thinking the same, I am using Pinecone and thinking of moving all to XANO sicne it is my DB. I noticed though in Pinecone we process in chunks, and in this example, it is one full document. Did you apply same process? How is in terms of performance? Ideally I would like to keep all in XANO.

[@alexxlem]

@@thejorgemarques unfortunately, I didn’t get the chance to try it fully yet, so I’m not certain how it will perform. But I will test it out very soon..!

[@longtimenosee1951]

This is amazing, well done Xano team

[@exlfactory]

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

[@batrbekokazov3179]

we're in the future ))

[@GregBarrett-rq1dm]

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?

[@LachlanXano]

Hey Greg you are correct, sorting the inner product with an ascending sort will return the most dissimilar results. The reason Chris mentioned to use the ascending sort is because this is a requirement for the query to utilise the vector index (the index wont be utilised with a descending sort), he has just applied the wrong eval in this scenario. In order to query using the index + return the most similar you can apply the negative inner product with an ascending sort.

[@ShawnSchwegman-wi3bb]

@@LachlanXano I agree that Inner Product sorted ASC will return dissimilar items first, which is NOT what you want. However, you can accomplish the same thing using the vector index by simply switching from "Inner Product" to "Negative Inner Product", still sorted ASC. I've tested it extensively and it works perfectly, sorts by most similar first, and is a super fast query.

[@ShawnSchwegman-wi3bb]

This video explains it very well about 32 minutes in - kzbin.info/www/bejne/ZmiYkGWCr5KEm8U

[@LachlanXano]

​@@ShawnSchwegman-wi3bb Hey Shawn you are correct this will work perfectly fine, however as you begin to increase the number of vectors stored you'll find that your queries will begin to take longer. (Particularly with high-dimension vectors) This is when the index will help increase the performance of your queries which will require the ascending sort in order for it to work! Awesome to see you using them.

[@Anunaka]

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

[@LachlanXano]

Hey there, what exactly are you trying to do with vectorshift? You can do most of this natively in Xano, is there a particular item within vectorshift that you were trying to use?

[@Anunaka]

​@@LachlanXano Thank you for your response. I am aiming to build a chatbot using Retrieval Augmented Generation (RAG) and was considering using VectorShift for its easy no code pipeline builder. However, if most of this functionality can be achieved natively in Xano, I would love to know how to set it up.

[@LachlanXano]

​@@Anunaka We will release a tutorial on how to do this very soon!

[@thejorgemarques]

@@LachlanXano Does this mean, I could replace most of my Flowise stack with XANO or 100% even? Thanks.

[@thejorgemarques]

@@LachlanXano Preparing the popcorn :D.

[@molcay8355]

🎉

[@user-Ef6op8qz7f]

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

[@LachlanXano]

Hey there! Check-out some of our other videos - we break down exactly how to do this. We also have some videos that show you how to connect to webflow and flutterflow specifically! Reach out to support or on our community if you are running into a specific issue.

[@user-Ef6op8qz7f]

@@LachlanXano Hey, bor my database will be firebase, so can we inegrate our APIs in firebase. And if I integrate my APIs in firebase, so we need add realtime database

[@AInegocios]

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

[@LachlanXano]

Hey there, we do have video showing you how you can issue credits to users - it was a stripe workshop hosted by Liz you can find it here on youtube! I like the idea of a video showing you how to track the cost of api charges per user and deduct these from a users credits / apply a markup. I will see what I can arrange in the coming weeks!