Enhance Text Generation with RAG, LangChain, and Vertex AI Reviews

vectorstore = DocArrayInMemorySearch.from_documents( docs, #embedding=embeddings # passing in the model to embed documents.. embeddings ) Throws an error: ValidationError: 1 validation error for DocArrayDoc embedding Expected a numpy.ndarray compatible type, got <class 'proto.marshal.collections.repeated.Repeated'> (type=value_error)

Mark S. · Reviewed 4 ay ago

Many many errors.

Jim B. · Reviewed 4 ay ago

Agnieszka M. · Reviewed 4 ay ago

Reveived: ValidationError: 1 validation error for DocArrayDoc embedding Expected a numpy.ndarray compatible type, got <class 'proto.marshal.collections.repeated.Repeated'> (type=value_error)

Dahal B. · Reviewed 4 ay ago

Roman S. · Reviewed 4 ay ago

Swathi M. · Reviewed 4 ay ago

Piotr Z. · Reviewed 4 ay ago

Cannot complete the lab due to a ValidationError on DocArrayDoc

JF T. · Reviewed 4 ay ago

Héctor Z. · Reviewed 4 ay ago

had errors in the notebook

Kody M. · Reviewed 4 ay ago

The most important step (RAG, retriever creating part) is not working I get an error.

Fatima A. · Reviewed 4 ay ago

Julián G. · Reviewed 4 ay ago

Raja R. · Reviewed 4 ay ago

Sureshkumar R. · Reviewed 4 ay ago

Nice lab, but should specify the version of gemini pro to 1.0 to make task 2 works fine, also, on last task there could be some type pistakes so need to redo it sometimes to get it done.

andre c. · Reviewed 4 ay ago

Maria A. · Reviewed 4 ay ago

Lila A. · Reviewed 4 ay ago

khalid c. · Reviewed 4 ay ago

thanks

Mohammed A. · Reviewed 4 ay ago

Adel A. · Reviewed 4 ay ago

Ibrahim A. · Reviewed 4 ay ago

Naufer N. · Reviewed 4 ay ago

LAst part was not working. Pretty rubbish.

Vanessa E. · Reviewed 4 ay ago

Brent H. · Reviewed 4 ay ago

This lab is broken for the complex use case of RAG

Harold M. · Reviewed 4 ay ago