Hi,
I am trying to query a VectorStoreindex which I have created using Gemini,
query_engine = index.as_query_engine(llm=Settings.llm, similarity_top_k=5)
but facing the following issue
shapes (1536,) and (768,) not aligned: 1536 (dim 0) != 768 (dim 0)
I figured that I might have to use Gemini to load the indexes well, but enable to pass it while using
storage_context = StorageContext.from_defaults(persist_dir=path)
load_index_from_storage(storage_context)
Can anyone please suggest me how to do the same. Thanks in advance.
