OKi]( %SrSSKrSSKrSSKJr SSKJr SSKJr S\ \S\S\4S jr S S \ 4S S S4SS\ 4SS\ 4SS\ 4SSS4SS\ 4SS\ 4S S\ 4S. r \ \ \\ \ \S\444\S'\R "\"\ 5S 9S!\ S\S\44S"j5rS\ 4S#jrS$\ S\\ \ 44S%jrSS&.S'\ S!\ S-S\\ \ 44S(jjrSS&.S'\ S!\ S-S\S\4S)jjrS*S+/rg),z!Factory functions for embeddings.N)Callable)Any) Embeddingsclskwargsreturnc U"S0UD6$)Nr )rrs [/var/www/html/dynamic-report/venv/lib/python3.13/site-packages/langchain/embeddings/base.py_callr s ==langchain_openaiAzureOpenAIEmbeddings langchain_awsBedrockEmbeddingsc U"SSU0UD6$)Nmodel_idr r rmodelrs r rsS%B%%B6%Br langchain_cohereCohereEmbeddingslangchain_google_genaiGoogleGenerativeAIEmbeddingslangchain_google_vertexaiVertexAIEmbeddingslangchain_huggingfaceHuggingFaceEmbeddingsc U"SSU0UD6$)N model_namer r rs r rrsS%DE%DV%Dr langchain_mistralaiMistralAIEmbeddingslangchain_ollamaOllamaEmbeddingsOpenAIEmbeddings) azure_openaibedrockcohere google_genaigoogle_vertexai huggingface mistralaiollamaopenai._BUILTIN_PROVIDERS)maxsizeprovidercBU[;aSUS[53n[U5e[Uup#n[R"U5n[XS5n[R"XHS 9$![ a,nUR SS5nSUSUS3n[ U5UeSnAff=f) a Return a factory function that creates an embeddings model for the given provider. This function is cached to avoid repeated module imports. Args: provider: The name of the model provider (e.g., `'openai'`, `'cohere'`). Must be a key in `_BUILTIN_PROVIDERS`. Returns: A callable that accepts model kwargs and returns an `Embeddings` instance for the specified provider. Raises: ValueError: If the provider is not in `_BUILTIN_PROVIDERS`. ImportError: If the provider's integration package is not installed. Provider 'E' is not supported. Supported providers and their required packages: _-zCould not import z5 python package. Please install it with `pip install `N)r) r/_get_provider_list ValueError importlib import_module ImportErrorreplacegetattr functoolspartial) r1msg module_name class_name creator_funcmoduleepkgrs r _get_embeddings_class_creatorrH8s&)) #A!#$ & o,>x,H)K\&((5 & %C   \ 33 &!!#s+!#&[\_[``ab#A%&sA(( B2'BBcVSRS[R555$)z3Get formatted list of providers and their packages. c3\# UH"upSUSUSRSS53v M$ g7f)z - z: rr5r6N)r=).0prGs r %_get_provider_list..as3=W61$qcCFNN3,-.=Ws*,)joinr/itemsr r r r8r8_s) 99=O=U=U=W r r cTSU;a%SUS[R53n[U5eURSS5up#UR 5R 5nUR 5nU[;aSUS[ 53n[U5eU(d Sn[U5eX#4$)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) Example: ```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: r3r4Model name cannot be empty)r/keysr9splitlowerstripr8)r rAr1rs r _parse_model_stringrZfs4 *$ZL1$ %7$;$;$=#>  @ o &&sA.OH~~%%'H KKME)) #A!#$ & o *o ?r r1rcUR5(d Sn[U5eUcSU;a[U5upOUnU(d"S[R 53n[U5eU[;aSUS[ 53n[U5eX4$)NrUrSzMust specify either: 1. A model string in format 'provider:model-name' Example: 'openai:text-embedding-3-small' 2. Or explicitly set provider from: r3r4)rYr9rZr/rVr8)rr1rAr s r _infer_model_and_providerr]s ;;==*oC5L259*  3"&&()  + o)) #A!#$ & o  r c U(d3[R5nSSRU53n[U5e[ XS9up[ U5"SSU0UD6$)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) - `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. 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, r[rr )r/rVrPr9r]rH)rr1r providersrAr s r init_embeddingsr`s[N &++- B499YCWBXYo4UNH ( 2 N Nv NNr rr`)__doc__r?r:collections.abcrtypingrlangchain_core.embeddingsrtyper r/dictstrtuple__annotations__ lru_cachelenrHr8rZr]r`__all__r r r rms'$0tJ3: ()@%HB "#5u=-/MuU35I5QD ()>F!#5u=!#5u=#MDeChsJ.G$GHHI&, S!345#4C#4HS*_4M#46#4LC4C4E#s(O4t   Dj  38_  H MO MODjMO MO  MOb r