Error in C1M2_Ungraded_Lab_1

Course Q&A Retrieval Augmented Generation
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1

There is an error in the ungraded assignment “Vector embeddings in RAG”.

# Load the pre-trained sentence transformer model using the method .encode
model_name =  "BAAI/bge-base-en-v1.5"
local_model_path = os.path.abspath(os.path.join("..", "..", "..", "models", "model", model_name))

But the .encode method is used to encode the string, not to load the model

2

Indeed, the comment was misleading, the code was refactored in commit e42cbb2dd6bcbf6dd4b9edd2fd46b8ba122bb8c2 in the meantime yesterday.
The part of the code is now:

# Load the pre-trained sentence transformer model
model_name = "BAAI/bge-base-en-v1.5"

model = SentenceTransformer(os.path.join(os.environ['MODELS'],model_name))

Hope is clearer now @billyboe ?

3

Yes, thanks