i am using Google Vertex AI API as LLM and using HF embedding. After completing the embedding and the file stored on local drive. i try to retrive those file using following instructions:
index = load_index_from_storage(storage_context=storage_context)
and got follow error: --------------------------------------------------------------------------- ValidationError Traceback (most recent call last) <ipython-input-12-a5b638486930> in <cell line: 4>() 2 storage_context = StorageContext.from_defaults(persist_dir='/content/drive/MyDrive/data/vectordb') 3 # load index ----> 4 index = load_index_from_storage(storage_context=storage_context)
7 frames /usr/local/lib/python3.10/dist-packages/pydantic/main.cpython-310-x86_64-linux-gnu.so in pydantic.main.BaseModel.init()
ValidationError: 1 validation error for OpenAI root Did not find openai_api_key, please add an environment variable OPENAI_API_KEY which contains it, or pass openai_api_key as a named parameter. (type=value_error)
How i can setup load_index_from_storage and not using OPENAI as default ? thx.
Yea. I did it. there is no issue if I directly use the index after index file being generated in memory. But facing issue if I save the file locally and load them again. I feel there is a bug in that load_index_from_storage and use openai as default and didn't consider other llm and embedding tool will be used.
you are correct. after i changing the code as: index = load_index_from_storage(storage_context=storage_context,service_context=service_context) it works now. thanks.
