Azure OpenAI Embedding not working for me

if my prompt template in my chat engine is consisting of serveral other variables that i want to pass in how can i do that?

I have a .index file(faiss) and i want to load it but i get this error

I have made an Index how can i persist it on faiss?

Has anyone tried to use marker-pdf library, i think eit is the secret sauce for Llamaparse,

Is there something i can so that llamindex ignores environment keys?

This does not work

Is there any clear cut documentation on Chatmemory Buffer or How to use it?

Any one else has a problem with Groq?

if i manually add embeddings for a document , will this code make those embeddings again?
And will it save to the storage context?
index = VectorStoreIndex.from_documents(
test_docs, storage_context=storage_context, embed_model=embed_model, show_progress=True
)

embedding process stopped due to timeout
how can i start from where it stopped?

For context, the collection is empty and initialized from a Persistant client.

How can i see what llm sees through the framework?

Can i Contribute in that?