=i" SrSSKrSSKJr SSKJr SSKJr SSSS S S S SS .rS\ 4Sjr S\ S\ \ \ 44Sjr SS.S\ S\ S-S\ \ \ 44Sjjr \R"\"\5S9S\ SS4Sj5rSS.S\ S\ S-S\S\4SjjrSS/rg)z!Factory functions for embeddings.N)util)Any) Embeddingslangchain_openai langchain_awslangchain_coherelangchain_google_vertexailangchain_huggingfacelangchain_mistralailangchain_ollama) azure_openaibedrockcoheregoogle_vertexai huggingface mistralaiollamaopenaireturncVSRS[R555$)z3Get formatted list of providers and their packages. c3V# UHupSUSURSS53v M! g7f)z - z: _-N)replace).0ppkgs i/home/dmtnaga/Documents/work/airagagent/rag_env/lib/python3.13/site-packages/langchain/embeddings/base.py %_get_provider_list..s-dGcVQtA3bS#!6 78Gcs'))join_SUPPORTED_PROVIDERSitemsr_get_provider_listr's! 99dG[GaGaGcd ddr& model_namec<SU;a[nSUSU3n[U5eURSS5up4UR5R 5nUR 5nU[;aSUS[ 53n[U5eU(d Sn[U5eX44$)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_stringr7s2 *( $ZL1$ %.;  0 o &&sA.OH~~%%'H KKME++ #A!#$ & o *o ?r&r5r6r5cUR5(d Sn[U5eUcSU;a[U5upOUnU(d[nSU3n[U5eU[;aSUS[ 53n[U5eX4$)Nr.r*zMust specify either: 1. A model string in format 'provider:model-name' Example: 'openai:text-embedding-3-small' 2. Or explicitly set provider from: r,r-)r2r/r7r#r')r6r5r4r(r3s r_infer_model_and_providerr:Qs ;;==*oC5L259* (  3k   o++ #A!#$ & o  r&)maxsizercb[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)rr4s r _check_pkgr@ss; >>#  !#&[\_[``ab# r&kwargsc JU(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$US:XaSSKJn U"SSU0UD6$SUS[+53n[U5e)a Initialize an embedding model from a model name and optional provider. !!! note Requires the integration package for the chosen model provider to be installed. See the `model_provider` parameter below for specific package names (e.g., `pip install langchain-openai`). Refer to the [provider integration's API reference](https://docs.langchain.com/oss/python/integrations/providers) for supported model parameters to use as `**kwargs`. Args: model: The name of the model, e.g. `'openai:text-embedding-3-small'`. You can also specify model and model provider in a single argument using `'{model_provider}:{model}'` format, e.g. `'openai:text-embedding-3-small'`. provider: The model provider if not specified as part of the model arg (see above). Supported `provider` values and the corresponding integration package are: - `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_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) - `mistraiai` -> [`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. Refer to the specific model provider's [integration reference](https://reference.langchain.com/python/integrations/) for all available parameters. 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 ???+ example ```python # pip install langchain langchain-openai # 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, r8rr)OpenAIEmbeddingsr6r )AzureOpenAIEmbeddingsr)VertexAIEmbeddingsr)BedrockEmbeddingsmodel_idr)CohereEmbeddingsr)MistralAIEmbeddingsr)HuggingFaceEmbeddingsr(r)OllamaEmbeddingsr,r-r%)r#keysr"r/r:r@rrCrDr rErrFrrHr rIr rJr rKr')r6r5rAr3r4r(rrCrDrErFrHrIrJrKs rinit_embeddingsrM{spL (--/ B499YCWBXYo4UNH x (CsO85;j;F;;>!:$@:@@@$$@!= =f==93 ?*???85;j;F;;;;">>v>>= ?$E EfEE85;j;F;; XJ=    " S/r&rrM)__doc__ functools importlibrtypingrlangchain_core.embeddingsrr#strr'tupler7r: lru_cachelenr@rM__all__r%r&rrXs'0' 2*&   eCe 4C4E#s(O4t   Dj  38_  D S!567CD8 t tDjt t  tp r&