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?
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.
This is a great video, love the overview diagram, code walkthrough and clear explanation!
Really really good step through
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!
Great video, Houssem! One of the best tutorial on that topic!
Finally a demo that works. Thanks Houssem.
very good and fresh summary - very good starting point with detaisl implementaiton details
Thank you, very good demo!
Do you have a course for that?
Im having trouble accessing extra body/dataSources on the javascript client. Any ideas why? It says the extra param does not exist.
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?
Good job !
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.
What will your new course cover?
Can we do this for free in azure ai studio????
Nice! Do you have a reference for RAG that uses Azure Cosmos DB for MongoDB (vCore)?
Thank you!
Hi, how can I use that if I do not have only markdown files?