Azure

This will help you to get started with Azure: https://docs.llamaindex.ai/en/stable/examples/llm/azure_openai.html

I am able to connect to azure open AI. Now I want to query through specified docs.

documents = SimpleDirectoryReader("data").load_data()
index = VectorStoreIndex.from_documents(documents)

query_engine = index.as_query_engine()
response = query_engine.query("What did the author do growing up?")
print(response)

above code is giving me error:

but when I run chat complete it works fine : response = llm.complete("The sky is a beautiful blue and")
print(response)

Try setting the service_context globally once.

ok

do you have example of service_context

what it will look like?

I did that still same error appeared

service_context = ServiceContext.from_defaults(
llm=llm,
embed_model=OpenAIEmbedding()
)

set_global_service_context(service_context)

You need to replace the embedding as well to AzureEmbedding

Here is the full example implementing Azure: https://docs.llamaindex.ai/en/stable/examples/customization/llms/AzureOpenAI.html

Ok I will try it.

Please could you tell how will I store embedding in chroma db and from there I want to search.

You can follow this to setup llamaindex with chroma: https://docs.llamaindex.ai/en/stable/examples/vector_stores/ChromaIndexDemo.html#basic-example

Thanks you helped me a lot I completed that project. Once again thanks !!!