related video : th-cam.com/video/XcDBJJIuuVQ/w-d-xo.html Thank you so much for watching guys! I would highly appreciate it if you join to my Patreon: www.patreon.com/GaoDalie_AI Book an Appointment with me: topmate.io/gaodalie_ai Support the Content (every Dollar goes back into the video): buymeacoffee.com/gaodalie98d join to my discord: discord.gg/GENrSVJN FOLLOW ME : Follow me on Twitter: twitter.com/mr_tarik098 Follow me on Linkedin: shorturl.at/dnvEX Follow me on Medium: medium.com/@GaoDalie_AI More Ideas On My Page: quickaitutorial.com/
Really enjoying your content, it’s helping me to teach myself and others. It’s great that you introduce the subject as opposed to diving straight into code and abstract concepts. 👍
Awesome video! RAGAS looks very nice as we are stumbling upon in building an automated framework for evaluation. It is not realistic to scale the manual evaluation process once the RAG apps go to production. I am aware you mentioned RAGAS can generate question and ground truth pair based on the provided data. In my use case we have thousand's of PDFs, HTMLs in RAG application. Does that mean we need to supply every single doc to RAGS to generate this pair? Just wondering how feasible it is for a chatbot where user could ask any query post go live and how to generate these metrics effectively.
related video : th-cam.com/video/XcDBJJIuuVQ/w-d-xo.html
Thank you so much for watching guys! I would highly appreciate it if you
join to my Patreon: www.patreon.com/GaoDalie_AI
Book an Appointment with me: topmate.io/gaodalie_ai
Support the Content (every Dollar goes back into the video): buymeacoffee.com/gaodalie98d
join to my discord: discord.gg/GENrSVJN
FOLLOW ME :
Follow me on Twitter: twitter.com/mr_tarik098
Follow me on Linkedin: shorturl.at/dnvEX
Follow me on Medium: medium.com/@GaoDalie_AI
More Ideas On My Page: quickaitutorial.com/
Really enjoying your content, it’s helping me to teach myself and others. It’s great that you introduce the subject as opposed to diving straight into code and abstract concepts. 👍
thank you so much and i am happy you found helpful
This is really cool. Thanks for sharing!
thanks, you are welcome
Thank you! The code helped a lot!
Thank you for watching
Awesome video! RAGAS looks very nice as we are stumbling upon in building an automated framework for evaluation. It is not realistic to scale the manual evaluation process once the RAG apps go to production.
I am aware you mentioned RAGAS can generate question and ground truth pair based on the provided data. In my use case we have thousand's of PDFs, HTMLs in RAG application. Does that mean we need to supply every single doc to RAGS to generate this pair? Just wondering how feasible it is for a chatbot where user could ask any query post go live and how to generate these metrics effectively.
Thanks, Great content, What version of langchain did you use for this code?
Thank you. I didn't set the version of LangChain
the code has been removed from the link. please share the code file again
all the code on my medium page : medium.com/p/2b3080f9c822
The Ragas framework module does not support the Gemini model, and thanks for this video
I don’t know I didn’t check their GitHub for long time maybe there is update for lest version could support another models