Hello, Evgenia, great job!!! I'm from Brazil, so please forgive my English. I replicated your project and need to make some changes. I need to recommend products to customers, so I select a customer (or even several customers) from a drop-down list, then select some filters such as: region, average purchase, spending and others, then the automation analyzes the customer's purchase history and recommends the products. Any suggestions on how I can do this? I would be immensely grateful. Bye
you can , just use http request and import with !curl 127.0.0.1:11434/api/embeddings -d '{ \ "model": "mxbai-embed-large",\ "prompt": "Llamas are members of the camelid family"\ }'
Hey Evgeniya! I followed the rabbit trail from the N8N community meetup video to this one, which was fantastic. Thanks for doing this. I am strategically all in on the whole low-code automation and RAG bandwagon, and have been doing copious research. I loved this presentation at the community meetup, as well as following along with this. I'd like to make the right decision for our organization when it comes to handling embeddings and data retrieval needs for our particular offerings. I have a few questions. I was hoping you could point me in the right direction. Would the comments here be the best place to do that, or is there an email address or chat platform you'd point me towards? I'd like to give you an idea of where we're at, what our goals are, what I know, and what I have access to in a general way, but as specifically as needs be, so you can tell me why or why not I should look at a solution such as yours. I have several books and things like that I'm reading, and a few different choices that I'm weighing. I want to make sure something fits within my personal skill set, as well as the outcomes that I'm looking to specifically produce. I am, however, willing to learn. It all comes down to the return on time investment, I guess. Thanks for replying to this. I look forward to hearing from you more. 😊
Evgenia, great video. If you have free time, shoot more videos using n8n and Qdrant. It is very interesting.
Glad you liked it!:) Will think about use cases!
Absolutely great example ! Please make more ! :)
thanks for creating this video, very helpful to me, please continuous create another usecase using this n8n workflow thanks
Absolutely!:) Planning a webinar on it with n8n in December:)
Hello, Evgenia, great job!!! I'm from Brazil, so please forgive my English. I replicated your project and need to make some changes. I need to recommend products to customers, so I select a customer (or even several customers) from a drop-down list, then select some filters such as: region, average purchase, spending and others, then the automation analyzes the customer's purchase history and recommends the products. Any suggestions on how I can do this? I would be immensely grateful. Bye
is there really no way to use ollama to get the embeddings?
What do you mean?:) I don't remember saying this, but if I did, I don't agree with myself, there ofc is:D
you can , just use http request and import with !curl 127.0.0.1:11434/api/embeddings -d '{ \
"model": "mxbai-embed-large",\
"prompt": "Llamas are members of the camelid family"\
}'
great
Hey Evgeniya! I followed the rabbit trail from the N8N community meetup video to this one, which was fantastic. Thanks for doing this.
I am strategically all in on the whole low-code automation and RAG bandwagon, and have been doing copious research. I loved this presentation at the community meetup, as well as following along with this.
I'd like to make the right decision for our organization when it comes to handling embeddings and data retrieval needs for our particular offerings. I have a few questions. I was hoping you could point me in the right direction.
Would the comments here be the best place to do that, or is there an email address or chat platform you'd point me towards? I'd like to give you an idea of where we're at, what our goals are, what I know, and what I have access to in a general way, but as specifically as needs be, so you can tell me why or why not I should look at a solution such as yours.
I have several books and things like that I'm reading, and a few different choices that I'm weighing. I want to make sure something fits within my personal skill set, as well as the outcomes that I'm looking to specifically produce. I am, however, willing to learn. It all comes down to the return on time investment, I guess.
Thanks for replying to this. I look forward to hearing from you more. 😊
I signed up for the free cluster today, you can probably find my email if that works for you.