KKi # 6SSKrSSKJr SSKJr SSKJr SSKJr SSSS S S S S SS. r S\ 4Sjr S\ S\ \ \ 44Sjr SS.S\ S\ S-S\ \ \ 44Sjjr\R"\"\ 5S9S\ SS4Sj5rSS.S\ S\ S-S\S\\\\\4-4SjjrSS/rg)N)util)Any) Embeddings)Runnablelangchain_openai langchain_awslangchain_coherelangchain_google_genailangchain_google_vertexailangchain_huggingfacelangchain_mistralailangchain_ollama) azure_openaibedrockcohere google_genaigoogle_vertexai huggingface mistralaiollamaopenaireturncVSRS[R555$)z3Get formatted list of providers and their packages. c3V# UHupSUSURSS53v M! g7f)z - z: _-N)replace).0ppkgs c/var/www/html/dynamic-report/venv/lib/python3.13/site-packages/langchain_classic/embeddings/base.py %_get_provider_list..s/:V$qcCKKS)*+:Vs'))join_SUPPORTED_PROVIDERSitemsr"_get_provider_listr*s) 99:N:T:T:V r) model_namec<SU;a[nSUSU3n[U5eURSS5up4UR5R 5nUR 5nU[;aSUS[ 53n[U5eU(d Sn[U5eX44$)aParse a model string into provider and model name components. The model string should be in the format 'provider:model-name', where provider is one of the supported providers. Args: model_name: A model string in the format 'provider:model-name' Returns: A tuple of (provider, model_name) ```python _parse_model_string("openai:text-embedding-3-small") # Returns: ("openai", "text-embedding-3-small") _parse_model_string("bedrock:amazon.titan-embed-text-v1") # Returns: ("bedrock", "amazon.titan-embed-text-v1") ``` Raises: ValueError: If the model string is not in the correct format or the provider is unsupported :zInvalid model format 'z'. Model name must be in format 'provider:model-name' Example valid model strings: - openai:text-embedding-3-small - bedrock:amazon.titan-embed-text-v1 - cohere:embed-english-v3.0 Supported providers:  Provider 'E' is not supported. Supported providers and their required packages: Model name cannot be empty)r& ValueErrorsplitlowerstripr*)r+ providersmsgprovidermodels r"_parse_model_stringr:s2 *( $ZL1$ %.;  0 o &&sA.OH~~%%'H KKME++ #A!#$ & o *o ?r)r8r9r8cUR5(d Sn[U5eUcSU;a[U5upOUnU(d[nSU3n[U5eU[;aSUS[ 53n[U5eX4$)Nr1r-zMust specify either: 1. A model string in format 'provider:model-name' Example: 'openai:text-embedding-3-small' 2. Or explicitly set provider from: r/r0)r5r2r:r&r*)r9r8r7r+r6s r"_infer_model_and_providerr=Ss ;;==*oC5L259* (  3k   o++ #A!#$ & o  r))maxsizer!cb[R"U5(dSUSUS3n[U5eg)z Check if a package is installed.zCould not import z5 python package. Please install it with `pip install `N)r find_spec ImportError)r!r7s r" _check_pkgrCusB >>#  u%336%q : # r)kwargsc vU(d3[R5nSSRU53n[U5e[ XS9up[Un[ U5 US:XaSSKJn U"SSU0UD6$US:XaSS KJn U"SSU0UD6$US :XaSS K J n U "SSU0UD6$US :XaSS K J n U "SSU0UD6$US:XaSSK Jn U "SSU0UD6$US:XaSSKJn U "SSU0UD6$US:XaSSKJn U "SSU0UD6$US:XaSSKJn U"SSU0UD6$US:XaSSKJn U"SSU0UD6$SUS[/53n[U5e)a Initialize an embeddings model from a model name and optional provider. !!! note Must have the integration package corresponding to the model provider installed. Args: model: Name of the model to use. Can be either: - A model string like `"openai:text-embedding-3-small"` - Just the model name if the provider is specified separately or can be inferred. See supported providers under the `provider` arg description. provider: Optional explicit provider name. If not specified, will attempt to parse from the model string in the `model` arg. Supported providers: - `openai` -> [`langchain-openai`](https://docs.langchain.com/oss/python/integrations/providers/openai) - `azure_openai` -> [`langchain-openai`](https://docs.langchain.com/oss/python/integrations/providers/openai) - `bedrock` -> [`langchain-aws`](https://docs.langchain.com/oss/python/integrations/providers/aws) - `cohere` -> [`langchain-cohere`](https://docs.langchain.com/oss/python/integrations/providers/cohere) - `google_genai` -> [`langchain-google-genai`](https://docs.langchain.com/oss/python/integrations/providers/google) - `google_vertexai` -> [`langchain-google-vertexai`](https://docs.langchain.com/oss/python/integrations/providers/google) - `huggingface` -> [`langchain-huggingface`](https://docs.langchain.com/oss/python/integrations/providers/huggingface) - `mistralai` -> [`langchain-mistralai`](https://docs.langchain.com/oss/python/integrations/providers/mistralai) - `ollama` -> [`langchain-ollama`](https://docs.langchain.com/oss/python/integrations/providers/ollama) **kwargs: Additional model-specific parameters passed to the embedding model. These vary by provider, see the provider-specific documentation for details. Returns: An `Embeddings` instance that can generate embeddings for text. Raises: ValueError: If the model provider is not supported or cannot be determined ImportError: If the required provider package is not installed ???+ note "Example Usage" ```python # Using a model string model = init_embeddings("openai:text-embedding-3-small") model.embed_query("Hello, world!") # Using explicit provider model = init_embeddings(model="text-embedding-3-small", provider="openai") model.embed_documents(["Hello, world!", "Goodbye, world!"]) # With additional parameters model = init_embeddings("openai:text-embedding-3-small", api_key="sk-...") ``` !!! version-added "Added in `langchain` 0.3.9" z2Must specify model name. Supported providers are: z, r;rr)OpenAIEmbeddingsr9r)AzureOpenAIEmbeddingsr)GoogleGenerativeAIEmbeddingsr)VertexAIEmbeddingsr)BedrockEmbeddingsmodel_idr)CohereEmbeddingsr)MistralAIEmbeddingsr)HuggingFaceEmbeddingsr+r)OllamaEmbeddingsr/r0r()r&keysr%r2r=rCrrFrGr rHr rIrrJr rLr rMr rNrrOr*)r9r8rDr6r7r+r!rFrGrHrIrJrLrMrNrOs r"init_embeddingsrQsB (--/ @9AU@V W o4UNH x (CsO85;j;F;;>!:$@:@@@>!G+G*GGG$$@!= =f==93 ?*???85;j;F;;;;">>v>>= ?$E EfEE85;j;F;; XJ=    " S/r)rrQ) functools importlibrtypingrlangchain_core.embeddingsrlangchain_core.runnablesrr&strr*tupler:r= lru_cachelenrClistfloatrQ__all__r(r)r"r^s#0-' ,2*&   C4C4E#s(O4t   Dj  38_  D S!567CD8 u uDju u (3U +,, ur r)