dh TSSKJrJrJrJr SSKJr SSKJrJ r J r "SS\\5r g))AnyDictListOptional) Embeddings) BaseModel ConfigDictmodel_validatorc\rSrSr%SrSr\\\S'Sr \\ \S'Sr \\\S'0r \\ \S'\\S '\"S S 9r\"S S 9\S\S\4Sj55rS\\S\\\4SjrS\S\\4SjrS rg)GPT4AllEmbeddingsaGPT4All embedding models. To use, you should have the gpt4all python package installed Example: .. code-block:: python from langchain_community.embeddings import GPT4AllEmbeddings model_name = "all-MiniLM-L6-v2.gguf2.f16.gguf" gpt4all_kwargs = {'allow_download': 'True'} embeddings = GPT4AllEmbeddings( model_name=model_name, gpt4all_kwargs=gpt4all_kwargs ) N model_name n_threadscpudevicegpt4all_kwargsclient)protected_namespacesbefore)modevaluesreturncSSKJn U"S URS5URS5URS5S.URS5=(d 0D6US'U$![a [S 5ef=f) z+Validate that GPT4All library is installed.r) Embed4Allrrr)rrrrrzuCould not import gpt4all library. Please install the gpt4all library to use this embedding model: pip install gpt4allr)gpt4allrget ImportError)clsrrs ^/var/www/html/shao/venv/lib/python3.13/site-packages/langchain_community/embeddings/gpt4all.pyvalidate_environment&GPT4AllEmbeddings.validate_environment!s  )( !::l3 **[1zz(+ ::./52  F8   @  s AAA4textsc UVs/sHo RRU5PM nnUVs/sHn[[[U55PM sn$s snfs snf)zEmbed a list of documents using GPT4All. Args: texts: The list of texts to embed. Returns: List of embeddings, one for each text. )rembedlistmapfloat)selfr#text embeddingses r embed_documents!GPT4AllEmbeddings.embed_documents6sO;@@%$kk''-% @-78ZS]#Z88A8s #A"Ar*c,URU/5S$)zhEmbed a query using GPT4All. Args: text: The text to embed. Returns: Embeddings for the text. r)r-)r)r*s r embed_queryGPT4AllEmbeddings.embed_queryCs##TF+A..)__name__ __module__ __qualname____firstlineno____doc__rrstr__annotations__rintrrdictrr model_configr classmethodrr!rr(r-r0__static_attributes__rr2r r r s"!%J $#Ix}#!FHSM!%'NHTN' K26L(#$3$& 9T#Y 94U 3D 9 / /U /r2r N) typingrrrrlangchain_core.embeddingsrpydanticrr r r rr2r rBs$,,0;;E/ :E/r2