Can you plese confirm if this is equivalent to AWS Bedrock now? Bedrock also provides inbuilt functionality to apply chunking from a list of chunking methods, porcessing document using multi-model if data has tables and images etc. All that is part of AWS Bedrock Knowledge base functionality now.
Thanks a lot! Really got content in short time! Do you have mor information on which toolset can be used to simplify the data loading process or how to load document types such as pdf in a simple way?
Finally a demo that works. Thanks Houssem.
Great video, Houssem! One of the best tutorial on that topic!
I am enrolling in your Udemy course, this is exactly what I am looking for a project to create RAG with my company documents. Thank you a lot!
very good and fresh summary - very good starting point with detaisl implementaiton details
Do you have a course for that?
What will your new course cover?
Nice! Do you have a reference for RAG that uses Azure Cosmos DB for MongoDB (vCore)?
Im having trouble accessing extra body/dataSources on the javascript client. Any ideas why? It says the extra param does not exist.
Can you plese confirm if this is equivalent to AWS Bedrock now? Bedrock also provides inbuilt functionality to apply chunking from a list of chunking methods, porcessing document using multi-model if data has tables and images etc. All that is part of AWS Bedrock Knowledge base functionality now.
Thanks a lot! Really got content in short time!
Do you have mor information on which toolset can be used to simplify the data loading process or how to load document types such as pdf in a simple way?
Thank you, very good demo!
Can we do this for free in azure ai studio????
Good job !
Thank you!
Hi, how can I use that if I do not have only markdown files?