DSPy + Weaviate for the Next Generation of LLM Apps

[@ecardenas300]

Thanks for watching! Feel free to let me know if you have any questions. 🥳

[@mrchongnoi]

you links need to be updated.

[@connor-shorten]

Amazing! This is an incredible example of how much creativity DSPy unlocks for LLM developers! Questions to blog posts, wow!!

[@ecardenas300]

Thank you, Connor! The possibilities are endless 🚀

[@GeorgeFoxRules]

You produce done of the best content on YT for AI! Great job and keep going. You are a rockstar.

[@ecardenas300]

Thanks for the support, George!

[@RajuAngani]

Going to explore DSPy. Thank you for the example!

[@ecardenas300]

Awesome 🥳

[@joser100]

Amazing tutorial Erika, very clear...

[@ecardenas300]

Thanks so much! Happy you enjoyed it 🙂

[@ABK6969]

Great walkthrough, looking forward to trying this.

[@ecardenas300]

Thank you!

[@dshorten1766]

Great video, Erika!

[@ecardenas300]

Thank you!!

[@lea_paris]

Great video, very clear explanations, and the example is great. Thanks Erika!

[@ecardenas300]

Thank you! Glad you enjoyed the video!

[@DonBranson1]

great video, and even better follow up support from Erika and the Weaviate team to resolve an issue I was having the code example. Thank you!

[@ecardenas300]

Hey Don, Just responded to you on Slack! Hope we're able to resolve this quickly 🙂

[@Liberty_boy]

Super interesting!

[@ecardenas300]

I agree!

[@Cdaprod]

Great video!! I can’t wait to do this for myself!!! 🎉

[@ecardenas300]

Thanks so much, David! Happy building 🚀

[@ivanarozamena]

Hi ! great content ! how you can add a filter where in your Weaviate database after to connect the retrieval ?

[@ecardenas300]

Thank you! 🙂 Are you asking how you can create a Weaviate schema and connect to it? There is a `Weaviate-import` notebook in the demo URL. I can't share links in my response, sorry!

[@ivanarozamena]

@@ecardenas300 thanks for the response !, but no we have already that my question is if in the retrieval function can we use like a where in sql to filter by one field in the schema, i dont know if i was clear enaugh :)

[@ecardenas300]

@@ivanarozamena Oh, yes! Weaviate supports filtering and can even couple multiple filters together. I can't share a link here, but you can find it by going to --> Weaviate --> Developers --> Weaviate docs --> How-to: Search --> Filters

[@miguelovallevillamil4953]

Great!!!

[@joffreylemery6414]

Hi ! Thanks for your video There is something i still do not understand with DSPy : If i want to create a programme similar like you, a bit different. Do i have to create a testing and eval dataset ? Do I have to do it for each application i have to do ? It makes the processus heavy...

[@ecardenas300]

Hi, thanks for your question! If you want to build a different DSPy program, you have to: 1. Create your Weaviate cluster and upload data 2. Connect to the Weaviate retriever model in DSPy 3. Build out your program with a signature(s)

[@joffreylemery6414]

@@ecardenas300 hum I understand Then, having training data is always mandatory ? (Requires effort to have it sometimes)

[@ZaferCan]

can we use dspy with weaviate-client latest versions ?

[@bobvanluijt897]

Not yet (keyword is "yet")

[@BrettDoffing]

Interesting. I may have missed it, but did you have training/test data before hand, or was this data generated by the pipeline (?) you just built out?

[@gabolema]

thanks for sharing! at the end of the video we can see how LLMS are not good at math yet 😅

[@ecardenas300]

We'll get there 🤣

[@iskrabesamrtna]

great application idea! I'd just add a small suggestion: please, use dark background, eyes bleed of this much brightness -.-

[@ecardenas300]

Thank you for the feedback! I'll keep that in mind next time. 🙂