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The recommended approach for using LlamaIndex with Google Cloud Platform is to use the Additionally, the Google GenAI SDK is recommended for scenarios requiring streaming chat functionality, as it supports streaming capabilities that are not implemented in the Vertex SDK [3]. To continue talking to Dosu, mention @dosu. Help Dosu learn! Give it feedback: Great Response | Irrelevant Answer | Incorrect Sources | Too Verbose | Hallucination | Bug Report | Other |
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Hi,
I have been building RAG with LlamaIndex and GCP suite for some time and have the following confusion/question :)
I started out mixing the Vertex implementation with GenAI, however after some issue with quotas and following this article
https://cloud.google.com/vertex-ai/generative-ai/docs/migrate/migrate-google-ai
I figured the VertexSDK is the proper one for productoin use cases and moved solely to it.
However I am not sure I fully understand the llamaindex approach, as from what I see (and here is where I am not sure how correct I am) it seems like that GenAI SDK has more support and releases.
Especially concerning for me seems the note on llama-index-llms-vertex in pip
Am I missing something? Which one is the way to go and would woud the Vertex one be depreciated?
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