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embedding_fix
ai-agents-embedding-fix-llamacppembeddings-embed-documents-raises-typeerro-da2b075a
IFLlamaCppEmbeddings.embed_documents raises TypeError: float() argument must be a string or a real number, not 'list'.
THENFlatten the nested list of token-level embeddings returned by llama-cpp-python into a list of vectors per document. Replace the list comprehension on line 114 of llamacpp.py with: return [list(map(float, sublist)) for e in embeddings for sublist in e]. Alternatively, upgrade llama-cpp-python to a version that returns sequence-level embeddings by default.
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