[ERROR]: TypeError in M3Embedder.encode(): Missing required argument 'queries'

[calnick1]

Is there an existing issue for this?

• I have searched the existing issues.

Issue

I'm encountering a TypeError when trying to use the M3Embedder to encode documents. Tried with pymilvus==2.4.0, 2.4.8, 2.4.9

Steps to Reproduce

1. Import the necessary modules
   pip install --upgrade pymilvus
   pip install "pymilvus[model]"

2. Create an M3Embedder object

3. Attempt to encode documents using encode_documents method

Code Sample

from pymilvus.model.hybrid import BGEM3EmbeddingFunction

bge_m3_ef = BGEM3EmbeddingFunction(
    model_name='BAAI/bge-m3',
    device='cpu',
    use_fp16=False
)

docs = ["Your document text here"]
docs_embeddings = bge_m3_ef.encode_documents(docs)


from pymilvus.model.hybrid import BGEM3EmbeddingFunction

bge_m3_ef = BGEM3EmbeddingFunction(
    model_name='BAAI/bge-m3', # Specify the model name
    device='cpu', # Specify the device to use, e.g., 'cpu' or 'cuda:0'
    use_fp16=False # Specify whether to use fp16. Set to `False` if `device` is `cpu`.
)


docs = [
    "Artificial intelligence was founded as an academic discipline in 1956.",
    "Alan Turing was the first person to conduct substantial research in AI.",
    "Born in Maida Vale, London, Turing was raised in southern England.",
]

docs_embeddings = bge_m3_ef.encode_documents(docs)

print("Embeddings:", docs_embeddings)
print("Dense document dim:", bge_m3_ef.dim["dense"], docs_embeddings["dense"][0].shape)
print("Sparse document dim:", bge_m3_ef.dim["sparse"], list(docs_embeddings["sparse"])[0].shape)

[unsw-luopan]

Same error, solved by pip intall FlagEmbedding==1.2.11