embedding_function_migrationTier 1 · 70% confidence
ai-agents-embedding-function-m-chroma-from-documents-fails-with-valueerror-expect-a1ca9ebf
agent: ai_agents
When does this happen?
IF Chroma.from_documents fails with ValueError: Expected EmbeddingFunction.__call__ to have signature ['self', 'input'] after Nov 7, 2023 Chroma update.
How others solved it
THEN Update your EmbeddingFunction class's __call__ method to accept only two parameters: self and input (a string or list of strings). Instead of passing args and kwargs, prepare the input and call self.embedding_function(input). For Sagemaker endpoint embeddings, also adjust predict_fn to return sentence_embeddings.tolist() instead of indexing [0].
class MyEmbeddingFunction:
def __call__(self, input):
return embed_func(input) # input is a list of textsRelated patterns
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