dhSSKrSSKJrJrJrJrJr SSKrSSKJ r SSK J r SSK J r Jr \R"\5r\ "SSSS 9"S S \ \ 55rg) N)AnyDictListMappingOptional) deprecated) Embeddings) BaseModel ConfigDictz0.3.1z1.0.0z!langchain_ollama.OllamaEmbeddings)sinceremovalalternative_importc\rSrSr%SrSr\\S'Sr\\S'Sr \\S'S r \\S 'S r \ \ \S 'S r\ \\S 'S r\ \\S'S r\ \ \S'S r\ \ \S'S r\ \ \S'S r\ \ \S'S r\ \\S'S r\ \\S'S r\ \\\S'S r\ \\S'S r\ \ \S'S r\ \\S'Sr\\S'S r\ \\S'\ S\!\\"44Sj5r#S r$\ \\S'\ S\%\\"44Sj5r&\'"S S!S"9r(S#\S\\4S$jr)S#\\S\\\4S%jr*S&\\S\\\4S'jr+S(\S\\4S)jr,S!r-g )*OllamaEmbeddings aSOllama locally runs large language models. To use, follow the instructions at https://ollama.ai/. Example: .. code-block:: python from langchain_community.embeddings import OllamaEmbeddings ollama_emb = OllamaEmbeddings( model="llama:7b", ) r1 = ollama_emb.embed_documents( [ "Alpha is the first letter of Greek alphabet", "Beta is the second letter of Greek alphabet", ] ) r2 = ollama_emb.embed_query( "What is the second letter of Greek alphabet" ) zhttp://localhost:11434base_urlllama2modelz passage: embed_instructionzquery: query_instructionNmirostat mirostat_eta mirostat_taunum_ctxnum_gpu num_thread repeat_last_nrepeat_penalty temperaturestoptfs_ztop_ktop_pF show_progressheadersreturnc@URURURURURUR UR URURURURURURURS. S.$)z.Get the default parameters for calling Ollama.) rrrrrrrrrr r!r"r#)roptions)rrrrrrrrrrr r!r"r#selfs ]/var/www/html/shao/venv/lib/python3.13/site-packages/langchain_community/embeddings/ollama.py_default_params OllamaEmbeddings._default_paramsxsZZ MM $ 1 1 $ 1 1<<<<"oo!%!3!3"&"5"5#//   model_kwargsc:0SUR0EURE$)zGet the identifying parameters.r)rr,r)s r+_identifying_params$OllamaEmbeddings._identifying_paramss$A7DJJ'@4+?+?@@r.forbid)extraprotected_namespacesinputc2SS0UR=(d 0En[R"URS3UURUS.UR ES9nURS:wa'[S UR<S UR<35eUR5nUS $![R Ran[SU35eSnAff=f![R Ra n[S US UR35eSnAff=f)z}Process a response from the API. Args: response: The response from the API. Returns: The response as a dictionary. z Content-Typezapplication/jsonz/api/embeddings)rprompt)r%jsonz$Error raised by inference endpoint: Nz)Error raised by inference API HTTP code: z, embeddingzError raised by inference API: z . Response: ) r%requestspostrrr, exceptionsRequestException ValueError status_codetextr:JSONDecodeError)r*r7r%resets r+_process_emb_response&OllamaEmbeddings._process_emb_responses . ||!r   I--==/1#zzUSd>R>RSC ??c !??CHH.   A[> !""33 ICA3GH H I""22 1!M#((L  s/  Hs AA*!A'&A'textscnUVs/sHo RU3PM nnURU5nU$s snf)zEmbed documents using an Ollama deployed embedding model. Args: texts: The list of texts to embed. Returns: List of embeddings, one for each text. )rrQ)r*rSrCinstruction_pairs embeddingss r+embed_documents OllamaEmbeddings.embed_documentssDLQQ54 6 67v>5Q[[!23 Rs2rCcPURU3nURU/5SnU$)zEmbed a query using a Ollama deployed embedding model. Args: text: The text to embed. Returns: Embeddings for the text. r)rrQ)r*rCinstruction_pairr<s r+ embed_queryOllamaEmbeddings.embed_querys7#445dV<KK!1 23A6 r.).__name__ __module__ __qualname____firstlineno____doc__rstr__annotations__rrrrrintrfloatrrrrrrrr rr!r"r#r$boolr%dictpropertyrrr,r/rr1r model_configrHrQrWr[__static_attributes__r4r.r+rr sP .-Hc,-E3(s(.&s&."Hhsm"B%)L(5/(5 %)L(5/(%"GXc]!$"GXc]!+!%J $N $(M8C='='+NHUO*,$(K%'=!%D(49 $&!E8E?!M E8C=0"E8E?!C M4J"GXd^"  c3h  *$(L(4.'" AWS#X%6AAH2FL"3"4;"HHDIH$tE{*;H T#Y 4U 3D   U r.r)loggingtypingrrrrrr=langchain_core._api.deprecationrlangchain_core.embeddingsr pydanticr r getLoggerr]rNrr4r.r+rqsX5560*   8 $  : Sy*S  Sr.