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embeddings_integration
ai-agents-embeddings-integrati-llamacppembeddings-embed-documents-raises-typeerro-5b3ee2d9
IFLlamaCppEmbeddings.embed_documents raises TypeError: float() argument must be a string or a real number, not 'list' when using GGUF models.
THENEnsure the LlamaCppEmbeddings instance is initialized with the `embedding=True` argument, or upgrade llama-cpp-python to a version that correctly returns single-sequence embeddings. For llama-cpp-python v0.2+, set `embedding=True` in the model constructor. Alternatively, flatten the nested list output by modifying line 114 to `return [list(map(float, sublist)) for e in embeddings for sublist in e]` if you cannot upgrade.
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