dhFSSKJr SSKrSSKrSSKrSSKrSSKrSSKrSSKrSSK r SSK J r SSK J r JrJrJrJrJrJrJrJrJrJrJrJrJrJr SSKrSSKJrJ r SSK!J"r" SSK#J$r$ SSK%J&r& SS K'J(r( SS K)J*r* SS K+J,r, SS K-J.r.J/r/ SS K0J1r1 \Rd"5r3\ (a.SSK4J5r5 SSK6J7r7 SSK8J9r9J:r: SSK;JJ?r?J@r@JArAJBrBJCrC \*"SSSS9rD\*"SSSS9rE\*"SSSS9rF\*"SSSS9rGSrH\S+S,Sjj5rI\S-S.Sjj5rIS+S/S jjrI"S!S"\,5rJ"S#S$\(5rKS0S%jrLS1S&jrMS2S3S'jjrNS2S4S(jjrOS5S)jrPS6S7S*jjrQg)8) annotationsN) TracebackType) TYPE_CHECKINGAnyCallableClassVar CollectionDictIterableListLiteralOptionalTupleTypeUnioncastoverload)#AsyncCallbackManagerForRetrieverRunCallbackManagerForRetrieverRun)Document) Embeddings)LangChainException) BaseRetriever) get_from_env) VectorStore) ConfigDictmodel_validator)maximal_marginal_relevance)TokenCredentialAsyncTokenCredential) SearchClientSearchItemPaged)AsyncSearchItemPagedr") CorsOptionsScoringProfile SearchFieldSemanticConfiguration VectorSearchAZURESEARCH_FIELDS_IDid)keyenv_keydefaultAZURESEARCH_FIELDS_CONTENTcontent!AZURESEARCH_FIELDS_CONTENT_VECTORcontent_vectorAZURESEARCH_FIELDS_TAGmetadataicgNendpoint index_namer-azure_ad_access_tokensemantic_configuration_namefields vector_searchsemantic_configurationsscoring_profilesdefault_scoring_profiledefault_fields user_agent cors_optionsasync_ additional_search_client_optionsazure_credentialazure_async_credentials d/var/www/html/shao/venv/lib/python3.13/site-packages/langchain_community/vectorstores/azuresearch.py_get_search_clientrKVs*cgr7r8r9s rJrKrKns* #rLc8^7^8^9SSKJm7JnJn SSKJn SSKJn SSKJ nJ n SSK J n SSK J n SSKJ n SSKJn SS KJnJnJnJnJnJn Jn!Jn"Jn#Jn$Jn%Jn&Jn' "U74S jS U5n("S S U5n)U=(d 0nU =(d /n UbJUR?5S:Xa+[ASU"55n*U*RCS5 U)"U*5n+O?U"U5n*U*n+O4UbU("U5n*U)"U*5n+O U=(d U"5n*U=(d U"5n+U"S*UU*U S.UD6n,U,REUS9 U (d U"S*UUU*U S).UD6$U"S*UUU+U S).UD6$!UGa UGbUV-s0sHn-U-RFU-RH_M Os sn-fsn-m8U V.s0sHn.U.RFU.RH_M Os sn.fsn.m9[KT9RM55[KT8RM55- VV/s0sH unn/UT9U_M Os sn/nfn0nn/[OU05S:aGS+U8U94Sjjn1SRQU0V2s/sH n2U1"U25PM Os sn2fsn25n3[SSU0SU335eOU nUcTU$"U"SU%RTU"SSSU&RVS9S9U"SU%RXU"U&RVS9S9/U'"SSS 9U'"S!SS 9/S"9nU(a [[U[\5(dU/nU#"UUS#9n4O%U(aU "UU""U!"[^S$9/S%9S&9n5U#"U5/S'9n4OSn4U"UUUU4UU U S(9n6U,RaU65 GNf=f),Nr) AccessTokenAzureKeyCredentialrr )ResourceNotFoundError)DefaultAzureCredentialInteractiveBrowserCredential)rRr%)SearchIndexClient) #ExhaustiveKnnAlgorithmConfigurationExhaustiveKnnParametersHnswAlgorithmConfigurationHnswParameters SearchIndexr) SemanticFieldSemanticPrioritizedFieldsSemanticSearchr*VectorSearchAlgorithmKindVectorSearchAlgorithmMetricVectorSearchProfilecR>\rSrSrSU4SjjrSSSS.S SjjrSrg) 6_get_search_client..AzureBearerTokenCredentialc`>T"U[[R"55S-5Ulg)Ni)inttime_token)selftokenrOs rJ__init__?_get_search_client..AzureBearerTokenCredential.__init__s!%eS-=-DEDKrLNFclaims tenant_id enable_caecUR$r7rfrgrlrmrnscopeskwargss rJ get_token@_get_search_client..AzureBearerTokenCredential.get_tokens;; rLrp)rhstr rrrvrl Optional[str]rmrxrnboolrsrreturnrO)__name__ __module__ __qualname____firstlineno__rirt__static_attributes__)rOsrJAzureBearerTokenCredentialrasX F%)'+$   " %          rLrcv\rSrSrS SjrSSSS.S SjjrS SjrS SSjjrS rg)7_get_search_client..AsyncTokenCredentialWrappercXlgr7 _credential)rg credentials rJri@_get_search_client..AsyncTokenCredentialWrapper.__init__s) rLNFrkcJ# URR"UUUUS.UD6$7f)Nrk)rrtrqs rJrtA_get_search_client..AsyncTokenCredentialWrapper.get_tokens6##--#%    s!#c # g7fr7r8rgs rJclose=_get_search_client..AsyncTokenCredentialWrapper.closes c # g7fr7r8)rgexc_type exc_value tracebacks rJ __aexit__A_get_search_client..AsyncTokenCredentialWrapper.__aexit__s rr)rrrwrzNone)NNN)rzOptional[Type[BaseException]]rzOptional[BaseException]rzOptional[TracebackType]rzr) r{r|r}r~rirtrrrr8rLrJAsyncTokenCredentialWrapperrs * %)'+$   " %            7;1515  3 / /      rLr INTERACTIVErz!https://search.azure.com/.default)r:rrD)namec >USTRUS5STRU5STRU5SUR5S3 $)Nz current type: 'MISSINGz'. It has to be 'z#' or you can point to a different 'z;' field name by using the env variable 'AZURESEARCH_FIELDS_')getupper)x fields_typesmandatory_fieldss rJfmt_err#_get_search_client..fmt_err sk#-l.>.>q).L-MN))9)=)=a)@(AB++;+?+?+B*CDFFGggi[PQSrL z2You need to specify at least the following fields z; or provide alternative field names in the env variables. r/ii)mef_construction ef_searchmetric)rkind parametersdefault_exhaustive_knn)r myHnswProfile)ralgorithm_configuration_namemyExhaustiveKnnProfile) algorithmsprofiles)configurationsdefault_configuration_name) field_name)content_fields)rprioritized_fields)r)rr>r?semantic_searchrArBrE)r:r;rrDr8)rrvrzrv)1azure.core.credentialsrOrPrazure.core.credentials_asyncr!azure.core.exceptionsrQazure.identityrRrSazure.identity.aioazure.search.documentsr"azure.search.documents.aioazure.search.documents.indexesrT%azure.search.documents.indexes.modelsrUrVrWrXrYr)rZr[r\r*r]r^r_rrrt get_indexrtypesetitemslenjoin ValueErrorHNSWCOSINEEXHAUSTIVE_KNN isinstancelistFIELDS_CONTENT create_index):r:r;r-r<r=r>r?r@rArBrCrDrErFrGrHrIrPrr!rQrRrSAsyncDefaultAzureCredentialr"AsyncSearchClientrTrUrVrWrXrYr)rZr[r\r*r]r^r_rrrasync_credential index_clientfdfvaluemissing_fieldsrrerrorrsemantic_configurationindexrOrrs: @@@rJrKrKs*XWA;SX3L@ _ &:>(H'M2$#)rN   99;- '/1M1OPJ  !D E::F +C0J)   */0EF 6zB%A)?)A 1R5P5R&7'' + 'L a)J/F  !!!  /   ! !'!  /   W !_)  4:;FqAFFAFFNF;L;IJ>R 0>J #&&6&<&<&>"?l((*+#,#,JC%c**#,N >"Q& ~"F~!71:~"FG H%&'%%*G-'"$F  (.&6;;#1,/&)#>#E#E $ 856EE#:#>#E#E$((,5>(55M )MB #5t<<+B*C',6+FO)%:0#<$1^$L#M$& " -=SSjr S?SS .S@S jjjr S?SS .S@S jjjr S?SS .SAS jjjr S?SS .SAS jjjr S?SBSjjrS?SBSjjrSCSS.SDSjjjrSS.SESjjrSCSS.SDSjjjrSS.SESjjrSCSS.SFSjjjrSCSS.SFSjjjrSCSS.SGSjjjrSCSS.SGSjjjrSHSISjjrSHSISjjrSJSS.SKSjjjrSJSS.SKS jjjrSCSLS!jjrSCSLS"jjrSHSIS#jjrSHSIS$jjrSCSS.SFS%jjjr SCSS.SFS&jjjr!SJSS.SKS'jjjr"SJSS.SKS(jjjr#SS.SMS)jjr$SS.SNS*jjr%SCSLS+jjr&SCSLS,jjr'SOSS.SPS-jjjr(SOSS.SPS.jjjr)SCSS.SQS/jjjr*SCSS.SQS0jjjr+\,SRSSS3jj5r-\,SRSSS4jj5r.\,S?S1S1S2SS5.STS6jjj5r/\,S?S1S1S2SS5.STS7jjj5r0SUS8jr1S9r2g)V AzureSearchirz&`Azure Cognitive Search` vector store.N)vector_search_dimensionsrGr<rHrIc  SSKJnJnJnJn X@l[UR [5(aUR RUl OUR Ul U"[URSSS9U"[URS9U"[URUR5SU =(d [!URS55SS 9U"["URS9/nS nS U;aUS (a US US -- n[%UUUUUUUU U U UUU [&R("U5US 9Ul[%UUUUUUUU U U UUU SUUUS9UlXPlX`lU(aUOUUlXlX lX0lX`lXplXlXl Xl!Xl"UUl#UUl$Xl%g![ an[ S5UeSnAff=f)Nr)SearchableFieldr(SearchFieldDataType SimpleFieldzeUnable to import azure.search.documents. Please install with `pip install -U azure-search-documents`.T)rrr- filterable)rrTextr)rr searchablervector_search_profile_name langchainrD ) r=r>r?r@rArBrCrDrErGrH) r=r>r?r@rArBrCrDrErFrGrHrI)&rrr(rr ImportErrorembedding_functionrr embed_query FIELDS_IDStringrFIELDS_CONTENT_VECTORr SinglerFIELDS_METADATArKcopydeepcopyclient async_client search_typer=r>_azure_search_endpoint_azure_search_key _index_name_semantic_configuration_name_fields_vector_search_semantic_configurations_scoring_profiles_default_scoring_profile_default_fields _user_agent _cors_options)rgazure_search_endpointazure_search_keyr;rrr=r>r?r@rArBrErrGr<rHrIrsrr(rrerCrDs rJriAzureSearch.__init__us&0    4"4 d--z : :#66BBD #66D  (//   #(//  *(334G4N4NO)A*1t''/0+:   $(// ' 0! 6 !f\&: #| 44 4J) !   !(C'$;-$;)!%-1]]0..#  */ !   !(C'$;-$;)!%-M-#9# &'+F( &fN &;#!1%,G) +(?%!1(?%-%)G ;  s F:: G GGc[US5(a+UR(aURR5 [US5(aUR(a[R "5nUR 5(a*URURR55 gURURR55 ggg![a} [R"5n[R"U5 URURR55 UR5 g!UR5 f=ff=f)Nrr) hasattrrrrasyncioget_event_loop is_running create_taskrun_until_complete RuntimeErrornew_event_loopset_event_loop)rgloops rJ__del__AzureSearch.__del__s 4 " "t{{ KK    4 ( (T->-> !--/??$$$$T%6%6%<%<%>?++D,=,=,C,C,EF.? (  !--/&&t,!++D,=,=,C,C,EFJJLDJJL !s+ AC 4)C 5E')E?E'E##E'c\[UR[5(a UR$S$r7)rrrrs rJ embeddingsAzureSearch.embeddingss1 $11:>>  # #  rLc# UR(a#URRU5IShvN $[[UR5"U5$N$7fr7)r aembed_queryrrr)rgtexts rJ _aembed_queryAzureSearch._aembed_querysA ??55d;; ;$"9"9:4@ @>qAAA5    EXsk D4'C% C# C%D4D--A1D4D2D4#C%%D*3"D D  D D*'D4)D** D4c 2/n/n[U5GHunupxU(aX6n OM[[R"55n [R "[ U S55RS5n U(aX&O0n SS[U [U[[R"U[RS9R5[[ R""U 50n U (a`U R%5V V Vs0sH1upXR&Vs/sHoR(PM sn;dM/X_M3 nn n nU R+U5 UR-U 5 UR-U 5 [/U5[0:XdGMmUR2R5US9n[7SU55(d [9U5e/nGM [/U5S:XaU$UR2R5US9n[7S U55(aU$[9U5es snfs snn n f) $Add embeddings to an existing index.utf-8ascii@search.actionuploaddtype documentsc36# UHoRv M g7fr7 succeeded.0rs rJ -AzureSearch.add_embeddings..91;;rc36# UHoRv M g7fr7r:r<s rJr?r@-Hq{{HrB) enumeratervuuiduuid4base64urlsafe_b64encodebytesdecoderrrnparrayfloat32tolistrjsondumpsrr>rupdateappendrMAX_UPLOAD_BATCH_SIZErupload_documentsallrrgtext_embeddingsr'rrdatair embeddingr-r5dockvradditional_fieldsresponses rJr#AzureSearch.add_embeddings]s$-o$> A g$**,'..uS'/BCJJ7S'0y|bH!(3%rxx 'L'S'S'UH!5 C!) 0% 0[[9[VV[99AD 0"%  ,- KK  JJsO4y11;;77$7G9999,X66G%?L t9>J;;//$/? -H- - -J$X. .1:%s9H H "H *H H c `# /n/n[U5GHunupxU(aX6O[[R"55n [R "[ U S55RS5n U(aX&O0n SS[U [U[[R"U[RS9R5[[ R""U 50n U (a`U R%5V V Vs0sH1upXR&Vs/sHoR(PM sn;dM/X_M3 nn n nU R+U5 UR-U 5 UR-U 5 [/U5[0:XdGMlUR2R5US9IShvN n[7SU55(d [9U5e/nGM [/U5S :XaU$UR2R5US9IShvN n[7S U55(aU$[9U5es snfs snn n fNN67f) r0r1r2r3r4r5r7Nc36# UHoRv M g7fr7r:r<s rJr?.AzureSearch.aadd_embeddings..rArBrc36# UHoRv M g7fr7r:r<s rJr?rdrDrB)rErvrFrGrHrIrJrKrrrrLrMrNrOrrPrQrr>rrRrSrrTrrUrVrrWs rJr,AzureSearch.aadd_embeddingss$-o$> A !$'s4::<'8C**5g+>?FFwOC'0y|bH!(3%rxx 'L'S'S'UH!5 C!) 0% 0[[9[VV[99AD 0"%  ,- KK  JJsO4y11!%!2!2!C!Cd!C!SS9999,X66?%?D t9>J**;;d;KK -H- - -J$X. .1:%TLsVC8H.:H# H#H# +H# 1AH.>H.H*AH.5H,6(H.H# #H.,H.c U(a?URRUVs/sH n[U0PM sn5n[U5S:$gs snf)Delete by vector ID. Args: ids: List of ids to delete. Returns: bool: True if deletion is successful, False otherwise. rF)rdelete_documentsrrrgrrsrZress rJdeleteAzureSearch.deletesE ++../L1A/LMCs8a< 0MsAc# U(aCURRUVs/sHnSU0PM sn5IShvN n[U5S:$gs snfN7f)rhr,NrF)rrirrjs rJadeleteAzureSearch.adeletesP ))::s;Ss!T1Is;STTCs8a< # URSUR5nUS:XaUR"U4SU0UD6IShvN $US:XaUR"U4SU0UD6IShvN $US:XaUR"U4SU0UD6IShvN $[ SUS35eNYN8N7f) rrrsr]Nrtrurvrw)rravector_search_with_scoreahybrid_search_with_score"asemantic_hybrid_search_with_scorerrs rJasimilarity_search_with_score)AzureSearch.asimilarity_search_with_score(sjj0@0@A , &77MMfMM M H $77MMfMM M - -@@V!VvVV V{m=IJ J NMVs3;BB"B B!"BBBBB)score_thresholdc xUR"U4SU0UD6nUcU$UVs/sHofSU:dM UPM sn$s snfNr]rrgr{r]rrsresultr>s rJ'similarity_search_with_relevance_scores3AzureSearch.similarity_search_with_relevance_scores6X..uDDVD&  $?Vt'>!V? @ 77c# UR"U4SU0UD6IShvN nUcU$UVs/sHofSU:dM UPM sn$N%s snf7frrrs rJ(asimilarity_search_with_relevance_scores4AzureSearch.asimilarity_search_with_relevance_scoresEd55eKqKFKK&  $?Vt'>!V? L@$AA A AAAA)filtersc ZURXUS9nUVVs/sHupgUPM snn$s snnf)$ Returns the most similar indexed documents to the query text. Args: query (str): The query text for which to find similar documents. k (int): The number of documents to return. Default is 4. Returns: List[Document]: A list of documents that are most similar to the query text. r]rrrgr{r]rrsdocs_and_scoresr\_s rJr?AzureSearch.vector_searchTs377G7T"12//222s 'cv# URXUS9IShvN nUVVs/sHupgUPM snn$Ns snnf7f)rrNrrs rJrAzureSearch.avector_searchdsI!% > > !?!  #22//22 3s91 9 399c hURU5nUR"USU4SU0UD6n[U5$)^Return docs most similar to query. Args: query (str): Text to look up documents similar to. k (int, optional): Number of Documents to return. Defaults to 4. filters (str, optional): Filtering expression. Defaults to None. Returns: List[Tuple[Document, float]]: List of Documents most similar to the query and score for each rr_simple_search_results_to_documentsrgr{r]rrsr[resultss rJr$AzureSearch.vector_search_with_scorevs=$$$U+ %%iQRR6R$W--rLc# URU5IShvN nUR"USU4SU0UD6IShvN n[U5IShvN $N6NN7f)rNrrr_asimple_search_aresults_to_documentsrs rJr%AzureSearch.avector_search_with_scorese$,,U33 ,, r1 &- 17  ,G444 4 5s1AAAAA A AAAc URU5nUR"USU4SU0UD6n[U[R"U5XBS9$)Perform a search and return results that are reordered by MMR. Args: query (str): Text to look up documents similar to. k (int, optional): How many results to give. Defaults to 4. fetch_k (int, optional): Total results to select k from. Defaults to 20. lambda_mult: Number between 0 and 1 that determines the degree of diversity among the results with 0 corresponding to maximum diversity and 1 to minimum diversity. Defaults to 0.5 filters (str, optional): Filtering expression. Defaults to None. Returns: List[Tuple[Document, float]]: List of Documents most similar to the query and score for each rrquery_embedding lambda_multr]rr0_reorder_results_with_maximal_marginal_relevancerLrM rgr{r]fetch_krrrsr[rs rJ(max_marginal_relevance_search_with_score4AzureSearch.max_marginal_relevance_search_with_scoresP6$$U+ %%iWXgXQWX? RXXi%8k  rLc# URU5IShvN nUR"USU4SU0UD6IShvN n[U[R"U5UUS9IShvN $NKN.N7f)rNrrrrr1_areorder_results_with_maximal_marginal_relevancerLrMrs rJ)amax_marginal_relevance_search_with_score5AzureSearch.amax_marginal_relevance_search_with_scores6,,U33 ,, r7 ,3 7=  G HHY/#    4  s1A)A#A)A%'A)A'A)%A)'A)c dUR"U4SU0UD6nUVVs/sHupVUPM snn$s snnf)rr]rrgr{r]rsrr\rs rJrxAzureSearch.hybrid_searchs877MMfM"12//222s ,c# UR"U4SU0UD6IShvN nUVVs/sHupVUPM snn$Ns snnf7f)rr]Nrrs rJrAzureSearch.ahybrid_searchsD!% > >u T TV TT"12//22U2s>6 > 8>>c fURU5nUR"XQU4SU0UD6n[U5$)Return docs most similar to query with a hybrid query. Args: query: Text to look up documents similar to. k: Number of Documents to return. Defaults to 4. Returns: List of Documents most similar to the query and score for each rrrs rJr$AzureSearch.hybrid_search_with_score s;"$$U+ %%iU7UfU$W--rLc# URU5IShvN nUR"XQU4SU0UD6IShvN n[U5IShvN $N5NN7f)rNrrrs rJr%AzureSearch.ahybrid_search_with_score#sc",,U33 ,, a )0 4:  ,G444 4 5s1AA AAAA AAAc xUR"U4SU0UD6nUcU$UVs/sHofSU:dM UPM sn$s snfrrrs rJ#hybrid_search_with_relevance_scores/AzureSearch.hybrid_search_with_relevance_scores;rrc# UR"U4SU0UD6IShvN nUcU$UVs/sHofSU:dM UPM sn$N%s snf7frrrs rJ$ahybrid_search_with_relevance_scores0AzureSearch.ahybrid_search_with_relevance_scoresJrrc URU5nUR"XqU4SU0UD6n[U[R"U5XBS9$)Return docs most similar to query with a hybrid query and reorder results by MMR. Args: query (str): Text to look up documents similar to. k (int, optional): Number of Documents to return. Defaults to 4. fetch_k (int, optional): Total results to select k from. Defaults to 20. lambda_mult: Number between 0 and 1 that determines the degree of diversity among the results with 0 corresponding to maximum diversity and 1 to minimum diversity. Defaults to 0.5 filters (str, optional): Filtering expression. Defaults to None. Returns: List of Documents most similar to the query and score for each rrrrs rJ/hybrid_max_marginal_relevance_search_with_score;AzureSearch.hybrid_max_marginal_relevance_search_with_scoreYsY8$$U+ %% g /6 :@ @ RXXi%8k  rLc# URU5IShvN nUR"XqU4SU0UD6IShvN n[U[R"U5UUS9IShvN $NJN.N7f)rNrrrrs rJ0ahybrid_max_marginal_relevance_search_with_score search_textvector_queriesfiltertopr8)azure.search.documents.modelsrrsearchrrgr[ text_queryr]rrsrs rJrAzureSearch._simple_searchsO( B{{!!  "$()0    rLc # SSKJn URR"SUU"UU[S9/UUS.UD6IShvN $N7f)rrrrrNr8)rrrrrrs rJrAzureSearch._asimple_searchs^( B&&--  "$()0      s 6?=?c fUR"U4SU0UD6nUVVs/sHun oePM snn$s snnf)G Returns the most similar indexed documents to the query text. Args: query (str): The query text for which to find similar documents. k (int): The number of documents to return. Default is 4. filters: Filtering expression. Returns: List[Document]: A list of documents that are most similar to the query text. r],semantic_hybrid_search_with_score_and_rerankrs rJry"AzureSearch.semantic_hybrid_searchsGKK     &55_ Q_555s-c# UR"U4SU0UD6IShvN nUVVs/sHun oePM snn$Ns snnf7f)rr]N-asemantic_hybrid_search_with_score_and_rerankrs rJr#AzureSearch.asemantic_hybrid_searchsV!% R R ! !  !  &55_ Q_55 6s?7 ?9??c UR"U4SU0UD6nUS:Xa$UVVV s/sHupxn UbX:dMXx4PM sn nn$US:Xa$UVV V s/sHupyn UbX:dMXz4PM sn n n$gs sn nnfs sn n nf) Returns the most similar indexed documents to the query text. Args: query (str): The query text for which to find similar documents. k (int): The number of documents to return. Default is 4. score_type: Must either be "score" or "reranker_score". Defaulted to "score". filters: Filtering expression. Returns: List[Tuple[Document, float]]: A list of documents and their corresponding scores. r]scoreNreranker_scorer rgr{r] score_typerrsrr\rrrs rJr-AzureSearch.semantic_hybrid_search_with_scores.KK       &5%4MC"*e.F %4  + +/>.=*CN"*n.O&%.= ,  sA+A+ A2A2c# UR"U4SU0UD6IShvN nUS:Xa$UVVV s/sHupxn UbX:dMXx4PM sn nn$US:Xa$UVV V s/sHupyn UbX:dMXz4PM sn n n$gNYs sn nnfs sn n nf7f)rr]Nrrrrs rJr.AzureSearch.asemantic_hybrid_search_with_score;s.!% R R ! !  !    &5%4MC"*e.F %4  + +/>.=*CN"*n.O&%.= ,  s7BA5BA7A7BA>(A>/B7Bc SSKJn URR"SUU"UR U5U[ S9/USUR SSUS.UD6nUR5=(d /n0nUH(n U RU RS.XR'M* UV VV s/sGH:n [U R[50[U ;a[U R[50O0E[U ;a[ R""U [5O/U R%5VV s0sHup+U[ :wdMX+_M sn nEU R'S5(aAU R'S0/5SRU R'S0/5SRS.O0UR'U R'[S 5S 5S .ES 9[)U S 5[)U S 54PGM= n nn n U $s sn nfs sn nn f)Return docs most similar to query with a hybrid query. Args: query: Text to look up documents similar to. k: Number of Documents to return. Defaults to 4. filters: Filtering expression. Returns: List of Documents most similar to the query and score for each rrrsemantic extractiverrr query_typer= query_caption query_answerrr highlights@search.captionsrcaptionsanswers page_contentr5 @search.score@search.reranker_scorer8)rrrrrrr= get_answersrrr-rrrrrrPloadsrrfloat) rgr{r]rrsrrsemantic_answerssemantic_answers_dictsemantic_answerrr^r|s rJr8AzureSearch.semantic_hybrid_search_with_score_and_rerankbs( B++$$ ++E2()0!(,(H(H&%  $#..06B&(/O',,-88: !"5"5 6 0`"U+ T"Q!'N!;! )F2' 9(=>!# ! /&8!JJvo'>?-3LLN",:DA#$(=#=!%,:"!2$*::.@#A#A-3JJ7IB4,P()-&&*d28**=ORTQU2V()3&&0j !"&('<'@'@ & 9b 9 "(!$Jf_-.f567O( R"U + X ?"+ s BG, G&3G&9B'G,&G,cD# SSKJn URU5IShvN nURR"SUU"UU[ S9/USUR SSUS.UD6IShvN nUR5IShvN =(d /n0n UH(n U RU RS.XR'M* UV VV s/sShvN n [U R[50[U ;a[U R[50O0E[U ;a[ R""U [5O/U R%5VV s0sHup,U[ :wdMX,_M sn nEU R'S 5(aAU R'S 0/5SRU R'S 0/5SRS.O0U R'U R'[S 5S 5S .ES 9[)U S 5[)U S54PGMBGNGNGNGNGs sn nf Os sn nn fn nn n U $7f)r rrNrr rrrrrrrrrr8)rrrrrrr=rrrr-rrrrrrPrrrr)rgr{r]rrsrrrr r!r"rr^r|s rJr9AzureSearch.asemantic_hybrid_search_with_score_and_reranksO B))%00))00 !()0!(,(H(H&%   $#*"5"5"77>B&(/O',,-88: !"5"5 6 0`!(U+ + TQ!'N!;! )F2' 9(=>!# ! /&8!JJvo'>?-3LLN",:DA#$(=#=!%,:"!2$*::.@#A#A-3JJ7IB4,P()-&&*d28**=ORTQU2V()3&&0j !"&('<'@'@ & 9b 9 "(!$Jf_-.f567O( 91 $8+ "+ + + X sH G?AH H H 7H8AH ;H=H HH Ar<)r( clsr&r[r'rrr<r;r>rs azure_searchs rJ from_textsAzureSearch.from_textssL !     "7    u:6:rLc f# U"UUUU4UUS.U D6n U R"X40U D6IShvN U $N7fr()r-r)s rJ afrom_textsAzureSearch.afrom_texts+s[ !     "7   %%eA&AAA Bs &1/1)rrr;r>c # [U5upU c [S5e[U S5n U"SUUUUUU S.UD6n U R"X40UD6IShvN U $N7fNz0Cannot create AzureSearch from empty embeddings.r)rrr;rr>rr8)_peekrrr, r*rXr[r'rrr;r>rsfirst_text_embeddingrr+s rJafrom_embeddingsAzureSearch.afrom_embeddingsEs16o0F-  'OP P#&';A'>#?  "7-!(%=   **?PPPP QsAAAAc [U5upU c [S5e[U S5n U"SUUUUUU S.UD6n U R"X40UD6 U $r2)r3rrr#r4s rJfrom_embeddingsAzureSearch.from_embeddingscsz16o0F-  'OP P#&';A'>#?  "7-!(%=    ##OI&IrLc URSUR5nX!S'URSS5=(d /nURUR 55 [ SSU0UDSU0D6$)aOReturn AzureSearchVectorStoreRetriever initialized from this VectorStore. Args: search_type (Optional[str]): Overrides the type of search that the Retriever should perform. Defaults to `self.search_type`. Can be "similarity", "hybrid", or "semantic_hybrid". search_kwargs (Optional[Dict]): Keyword arguments to pass to the search function. Can include things like: score_threshold: Minimum relevance threshold for similarity_score_threshold fetch_k: Amount of documents to pass to MMR algorithm (Default: 20) lambda_mult: Diversity of results returned by MMR; 1 for minimum diversity and 0 for maximum. (Default: 0.5) filter: Filter by document metadata Returns: AzureSearchVectorStoreRetriever: Retriever class for VectorStore. rtagsN vectorstorer8)rrrextend_get_retriever_tagsAzureSearchVectorStoreRetriever)rgrsrr<s rJ as_retrieverAzureSearch.as_retrieverse&jj0@0@A +}zz&$'-2 D,,./.U4U6UPTUUrL)rrrrrrrrrrrrrrrrr>rr=)rtNNNNNNN)$rrvrrxr;rvrzUnion[Callable, Embeddings]rrvr=rxr>Optional[List[SearchField]]r?Optional[VectorSearch]r@COptional[Union[SemanticConfiguration, List[SemanticConfiguration]]]rAOptional[List[ScoringProfile]]rBrxrEOptional[CorsOptions]rz Optional[int]rGOptional[Dict[str, Any]]r<rxrHOptional[TokenCredential]rIOptional[AsyncTokenCredential]rsrr)rzzOptional[Embeddings])rrvrz List[float]r7) r&z Iterable[str]r'Optional[List[dict]]rOptional[List[str]]rsrrz List[str])rX!Iterable[Tuple[str, List[float]]]r'rLrrMrzrN)rrMrsrrzry)r) r{rvr]rdrrxrsrrzList[Document])r{rvr]rdrsrrzList[Tuple[Document, float]]) r{rvr]rdrOptional[float]rsrrzrQ) r{rvr]rdrrxrsrrzrP)rN) r{rvr]rdrrxrsrrzrQ)r?)r{rvr]rdrrdrrrrxrsrrzrQ)r{rvr]rdrsrrzrP) r[rKrrvr]rdrrxrsrrzzSearchItemPaged[dict]) r[rKrrvr]rdrrxrsrrzzAsyncSearchItemPaged[dict])rr) r{rvr]rdrz"Literal['score', 'reranker_score']rrRrsrrzrQ) r{rvr]rdrrxrsrrzz#List[Tuple[Document, float, float]])NrrNr&N)r*Type[AzureSearch]r&rNr[rr'rLrrvrrvr<rxr;rvr>rCrsrrzr)r*rUrXrOr[rr'rLrrvrrvr;rvr>rCrsrrzr)rsrrzr@)3r{r|r}r~__doc__rirpropertyrrr(r-r#r,rlror}rrrrrr?rrrrrrxrrrrrrrrrryrrrrr classmethodr,r/r6r9rArr8rLrJrrrs 0$59.204 ;?15.2B*"37EI/36:AE+B*"B*(B* B* 8 B*  B*&3B*,B*.B*" B*9B*"/B*,B*"#0#B*$+C%B*& -'B*(4)B**!?+B*,-B*H!2  A+/Q %) QQ(Q " Q  Q QB+/X %) XX(X " X  X XB+/;/ %) ;/:;/(;/ " ;/  ;/@+/7/ %) 7/:7/(7/ " 7/  7/r & &*   #    ('( K K # K36 K % K$ &*   #    ('( K K # K36 K % K"  ,0       )     &  $  ,0       )     &  $%3BF33 32?3RU3 3"$%3BF33 32?3RU3 3*!% .. . .  . & .4!% 55 5 5  5 & 58  "&                &  J % "&% %  %  %  % % %  &% N 3$%33 3033 3&!% .. . .  . & .2!% 55 5 5  5 & 56  ,0       )     &  $  ,0       )     &  $ # "&# #  #  #  # # #  &# P & "&& &  &  &  & & &  && \"& " " "   "  " "  " T"& " " "   "  " "  $" J$%66 6036 6($%66 6036 6,9@ % ,0 %% %7 % ) %% &%T9@ % ,0 %% %7 % ) %% &%P$%UBFUU U2?URUU ,Up$%VBFVV V2?VRUV ,Vp +/%' "/3+.2 (  #    -, 2 +/%' "/3+.2 (  #    -, 2 +/  &( "+.2 :(  # , : +/  &( "+.2 :(  # , <VrLrc\rSrSr%SrS\S'SrS\S'SrS \S '0rS \S 'S r S\S'\ "SS9r \ "SS9\ SSj55rSSjrSSjrSrg)r@iz-Retriever that uses `Azure Cognitive Search`.rr=rtrvrrrdr]dict search_kwargs)rssimilarity_score_thresholdrthybrid_score_thresholdrusemantic_hybrid_score_thresholdzClassVar[Collection[str]]allowed_search_typesT)arbitrary_types_allowedbefore)modecpSU;a/USnX R;a[SUSUR35eU$)zValidate search type.rrvz not allowed. Valid values are: )r_r)r*valuesrs rJvalidate_search_type4AzureSearchVectorStoreRetriever.validate_search_typesQ F " /K":":: %k]2R//02 rLc 0UREUEnURS:Xa+URR"U4SUR0UD6nU$URS:Xa>URR "U4SUR0UD6VVs/sHupgUPM nnnU$URS:Xa+URR "U4SUR0UD6nU$URS:Xa>URR"U4SUR0UD6VVs/sHupgUPM nnnU$URS:Xa+URR"U4SUR0UD6nU$URS:Xa>URR"U4SUR0UD6VVs/sHupgUPM nnnU$[SURS 35es snnfs snnfs snnf Nrsr]r\rtr]rur^rvrw) r[rr=r?r]rrxrryrr)rgr{ run_managerrsparamsr|r\rs rJ_get_relevant_documents7AzureSearchVectorStoreRetriever._get_relevant_documentss- 2D&&1&1   | +##11%L466LVLD8 7  != =#..VV!VV'-FC 4 )   )##11%L466LVLD& %  !9 9#..RR!VV'-FC "   !2 2##::5UDFFUfUD   !B B#..PP!VV'-FC  t/?/?.@ NO O3s G G  Gc<# 0UREUEnURS:Xa3URR"U4SUR0UD6IShvN nU$URS:XaHURR "U4SUR0UD6IShvN nUVVs/sHupxUPM nnnU$URS:Xa3URR "U4SUR0UD6IShvN nU$URS:XaHURR"U4SUR0UD6IShvN nUVVs/sHupxUPM nnnU$URS:Xa3URR"U4SUR0UD6IShvN nU$URS:XaFURR"U4SUR0UD6IShvN VVs/sHupxUPM nnnU$[SURS 35eGNGNls snnfGNNs snnfNNKs snnf7frh) r[rr=rr]rrrrrr) rgr{rirsrjr|rr\rs rJ_aget_relevant_documents8AzureSearchVectorStoreRetriever._aget_relevant_documentsse2D&&1&1   | +))88S$&&SFSSD< ;  != =&&OO!VV'-  '66oFCCoD6. -   )))88S$&&SFSSD* )  !9 9&&KK!VV'-  '66oFCCoD6   !2 2))AA#)D   !B B%)$4$4$W$W%!VV%'-%FC  t/?/?.@ NO O;T7S7 sA HG;AHG> H H)AH*H+AH-H . H7 H AHHAHH H HH>HH H HHHr8N)rdr rzr)r{rvrirrsrrzrP)r{rvrirrsrrzrP)r{r|r}r~rV__annotations__rr]r[r_r model_configrrXrerkrnrr8rLrJr@r@s7?K-AsJ(M473 $L(# $ %%4% %  %N((9 (  (  (rLr@c`UVs/sHn[U5[US54PM nnU$s snfNr_result_to_documentrrrr|s rJrrsK   F  ' &) *     K s"+cx# UVs/sShvN n[U5[US54PM$N Os snfnnU$7frsrtrvs rJrr+sN$      ' &) *   D  Ks$:1/- /1/1 :c$# UVs/sShvN n[U5[US5U[4PM,N' Os snfnn[[[ U65upgn[ XX2S9n /n U H#n U S:Xa U $U RXkX{45 M% U $7fNr)r]rrurrmaprr$rrS rrrr]rr|r8scoresvectors new_orderingretrs rJrr8s$      ' &) * ( )   D "%T3:!6Iw.AL )+C  7  J IL&),-  Js'B975 7$979ABcUVs/sH$n[U5[US5U[4PM& nnU(d/$[[[ U65upgn[ XX2S9n /n U H#n U S:Xa U $U RXkX{45 M% U $s snfryr{r}s rJrrYs   F  ' &) * ( )      !$T3:!6Iw.AL )+C  7  J IL&),-  J3 s*B c[U;aD[U[[5(a U[nOS[R"U[5nO5UR 5VVs0sHup#U[ [4;dMX#_M nnn[U;a[UR[50nO0n[U[0UEUES9$s snnf)Nr) rrrZrPrrrrrrr)rfields_metadatar-r fields_ids rJruru|s& f_-t 4 4$_5O"jj)@AO%lln , 0.AA CJ,  F 9 56  N+     s "C;Cc[U5n[U5n[R"U/U5nX4$![a X4s$f=fr7)iternext itertoolschain StopIteration)iterabler/iteratorrs rJr3r3sK!>X??E7H5 !  !s03 AA)NNNNNNNNN"langchain-comm-python-azure-searchNFNNN)$r:rvr;rvr-rxr<rxr=rxr>rCr?rDr@rErArFrBrxrCrCrDrxrErGrFzLiteral[False]rGrHrHrIrIrJrzzUnion[SearchClient])NNNNNNNNNrNTNNN)$r:rvr;rvr-rxr<rxr=rxr>rCr?rDr@rErArFrBrxrCrCrDrxrErGrFz Literal[True]rGrHrHrIrIrJrzzUnion[AsyncSearchClient])$r:rvr;rvr-rxr<rxr=rxr>rCr?rDr@rErArFrBrxrCrCrDrxrErGrFryrGrHrHrIrIrJrzz&Union[SearchClient, AsyncSearchClient])rSearchItemPaged[Dict]rzrQ)rAsyncSearchItemPaged[Dict]rzrQ)rTr) rrr np.ndarrayrrr]rdrzrQ) rrrrrrr]rdrzrQ)rr rzrr7)rr r/z Optional[Any]rzzTuple[Iterable, Any])R __future__rrrHrrrPloggingrerFtypesrtypingrrrrr r r r r rrrrrrnumpyrLlangchain_core.callbacksrrlangchain_core.documentsrlangchain_core.embeddingsrlangchain_core.exceptionsrlangchain_core.retrieversrlangchain_core.utilsrlangchain_core.vectorstoresrpydanticrr&langchain_community.vectorstores.utilsr getLoggerr!rrrr!rr"r#rr$rrr&r'r(r)r*rrrrrTrKrr@rrrrrur3r8rLrJrs"   $.083-30M    6AD )@$  $ (  %+ /   *BJ +/15*.,0 7;-126 D*."AE26=A' )  "/  ( *5+0( !"'?#$0%&;'() . +/15*.,0 7;-126 D*. AE26=A'### #) # "/ # ( #*##5#+#0##(# !#"'?##$0%#&;'#()# #4+/15*.,0 7;-126 D*.AE26=A'i i i  i ) i "/ i ( i *i i 5i +i 0i i (i !i "'?#i $0%i &;'i (,)i XhV+hVV)~m~B  " !   ' !     '  " H   "     " F6!rL