Hey guys I hope you enjoyed the video! If you did please subscribe to the channel! Join our Data Science Discord Here: discord.com/invite/F7dxbvHUhg If you want to watch a full course on AI check out Datacamp: datacamp.pxf.io/XYD7Qg Want to solve Python data interview questions: stratascratch.com/?via=ryan I'm also open to freelance data projects. Hit me up at ryannolandata@gmail.com *Both Datacamp and Stratascratch are affiliate links.
Brother saw some of your other videos as well , you are doing a superb job here. It feels bad when I see quite a low response from the audience even though your videos are exceptionally knowledgable . keep working hard bro you will grow , best wishes
Ryan, really appreciate you adding how to save and load FAISS vector database at end of this vid. I ran several repeated tests against my saved VDB and it appeared to make NO DIFFERENCE in Open usage or Costs for today = Aug 3, 2024!😂
hey, I want to see how embeddings look/is stored in vectorStore. I want to store the embeddings in a CSV format. I am using FAISS only. How to store it in CSV format?
Just a question: FAISS is now using only CPU not GPU. I have Windows. How can I get FAISS run with my GPU? If not what alternative vectorbases should I use? It makes a large difference in terms of performance doesnt it?
Absolutely brilliant and useful video. You are the REAL rockstar (no pun intended :))! If you are ever looking for content ideas .... here's one: Do a video on building a RAG pipeline on AWS Bedrock. The AWS platform is phenomenal but the documentation is often confusing. And they have a ton of really useful features (like Guardrails).
Hi Ryan, you have now idea how this video of yours was good for me. I really appreciate it. Do you know how I can replace the OpenAI stuff and Jan AI (Jan is an offline AI thing that you can download to your computer and remove the dependency from cloud providers/service/internet connection. Thanks again! Keep the good stuff coming! btw, who would say Metallica would help learning AI, huh? LOL
Haha glad you like the Metallica. I haven’t heard of jan AI but maybe something to look at in the future. I’m about to crush out a series on dbt so will look after
Great video. I'm dying laughing that you called "PRIME-us" "prim-us" and then said they you guys actually did the same wasabi hazing as Metallica... back at math camp.
Hey guys I hope you enjoyed the video! If you did please subscribe to the channel!
Join our Data Science Discord Here: discord.com/invite/F7dxbvHUhg
If you want to watch a full course on AI check out Datacamp: datacamp.pxf.io/XYD7Qg
Want to solve Python data interview questions: stratascratch.com/?via=ryan
I'm also open to freelance data projects. Hit me up at ryannolandata@gmail.com
*Both Datacamp and Stratascratch are affiliate links.
Brother saw some of your other videos as well , you are doing a superb job here. It feels bad when I see quite a low response from the audience even though your videos are exceptionally knowledgable . keep working hard bro you will grow , best wishes
Thanks man I’m going to continue to push and learn/post videos. Working on getting leetcode out weekly now with a few other vids.
Ryan, really appreciate you adding how to save and load FAISS vector database at end of this vid. I ran several repeated tests against my saved VDB and it appeared to make NO DIFFERENCE in Open usage or Costs for today = Aug 3, 2024!😂
Thank You. A very important and timely topic. Thank You!. Next, best embeddings ?
hey, I want to see how embeddings look/is stored in vectorStore. I want to store the embeddings in a CSV format. I am using FAISS only. How to store it in CSV format?
Just a question: FAISS is now using only CPU not GPU. I have Windows. How can I get FAISS run with my GPU? If not what alternative vectorbases should I use? It makes a large difference in terms of performance doesnt it?
really this is very helpful video
Glad you liked it
Thanks, how can we apply it to tables such as csv or even sqlite tables?
Absolutely brilliant and useful video. You are the REAL rockstar (no pun intended :))!
If you are ever looking for content ideas .... here's one:
Do a video on building a RAG pipeline on AWS Bedrock. The AWS platform is phenomenal but the documentation is often confusing. And they have a ton of really useful features (like Guardrails).
I haven’t used AWS yet. I’m trying to get thrown into a few AWS projects at work but no luck :/ I do want to learn AWS and make vids on it.
hey man this is _really_ good work!! keep on going!
Thank you!
When I do date related query with FAISS why FAISS not returning perfect result? Do I need to update query for Vector search?
Great video!
Thanks
similarity_search gives 4 most similar texts? because I'm getting from 0th to 3rd index results when i query something.
Hi bro, Great Video. Hope to see next!
Np see you in the next vid
Hi Ryan, you have now idea how this video of yours was good for me. I really appreciate it. Do you know how I can replace the OpenAI stuff and Jan AI (Jan is an offline AI thing that you can download to your computer and remove the dependency from cloud providers/service/internet connection. Thanks again! Keep the good stuff coming! btw, who would say Metallica would help learning AI, huh? LOL
Haha glad you like the Metallica. I haven’t heard of jan AI but maybe something to look at in the future. I’m about to crush out a series on dbt so will look after
@@RyanAndMattDataScience tagged along! Can't wait to learn more stuff!
New Subscriber !
I don't understand the difference between query and retriever. Can someone help me understand this?
Great video. I'm dying laughing that you called "PRIME-us" "prim-us" and then said they you guys actually did the same wasabi hazing as Metallica... back at math camp.
Great video! Good job. Love Metallica as well!!!
Thanks
Small Doubt did you pay for OPENAI api key ? Because I have not paid it .
If we pay only we would able to use the Embedding models ?
I didn’t pay when I made this video. I had to pay last week for gpt vision
@@RyanAndMattDataScience thank you so much, learnt a lot from this video.
Hey bro, this is an amazing tutorial, it would be great if you share the code link
I need to add it on GitHub. I’m just so behind with it