# Hybrid search raises an API Key error when used with azure-openai **URL:** \ **Category:** Support\ **Tags:** bug, python\ **Created:** [January 6, 2025, 5:42am UTC](https://forum.weaviate.io/t/hybrid-search-raises-an-api-key-error-when-used-with-azure-openai/9578 "2025-01-06T05:42:04Z")\ **Posts on this page:** 5\ **Page:** 1
**Author:** ![Bigdwarf43](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/bigdwarf43/32/965_2.png) [@Bigdwarf43](https://forum.weaviate.io/u/Bigdwarf43)\ **Post date:** [January 6, 2025, 5:42am UTC](https://forum.weaviate.io/t/hybrid-search-raises-an-api-key-error-when-used-with-azure-openai/9578/1 "2025-01-06T05:42:04Z")
Unable to used Hybrid queries when working with azure-openai embeddings. The query asks for an OPENAI key while the azureopenai key env is set in docker compose. The near\_text query works fine though weaviate\_client\_version : 4.10.2 weaviate\_version: 1.28.1 **Collection\_definition:** ```auto _CollectionConfig(name='Kip_vid_documents_without_flevy_azure', description=None, generative_config=None, inverted_index_config=_InvertedIndexConfig(bm25=_BM25Config(b=0.75, k1=1.2), cleanup_interval_seconds=60, index_null_state=False, index_property_length=False, index_timestamps=False, stopwords=_StopwordsConfig(preset=, additions=None, removals=None)), multi_tenancy_config=_MultiTenancyConfig(enabled=False, auto_tenant_creation=False, auto_tenant_activation=False), properties=[_Property(name='data', description=None, data_type=, index_filterable=True, index_range_filters=False, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=_PropertyVectorizerConfig(skip=False, vectorize_property_name=False), vectorizer='text2vec-openai'), _Property(name='segment_id', description=None, data_type=, index_filterable=True, index_range_filters=False, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=_PropertyVectorizerConfig(skip=False, vectorize_property_name=False), vectorizer='text2vec-openai'), _Property(name='source_url', description=None, data_type=, index_filterable=True, index_range_filters=False, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=_PropertyVectorizerConfig(skip=False, vectorize_property_name=False), vectorizer='text2vec-openai'), _Property(name='source_name', description=None, data_type=, index_filterable=True, index_range_filters=False, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=_PropertyVectorizerConfig(skip=False, vectorize_property_name=False), vectorizer='text2vec-openai'), _Property(name='source_tag__metadata', description=None, data_type=, index_filterable=True, index_range_filters=False, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=_PropertyVectorizerConfig(skip=False, vectorize_property_name=False), vectorizer='text2vec-openai'), _Property(name='source_id', description=None, data_type=, index_filterable=True, index_range_filters=False, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=_PropertyVectorizerConfig(skip=False, vectorize_property_name=False), vectorizer='text2vec-openai'), _Property(name='measurement_approach', description=None, data_type=, index_filterable=True, index_range_filters=False, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=_PropertyVectorizerConfig(skip=False, vectorize_property_name=False), vectorizer='text2vec-openai'), _Property(name='trend_analysis', description=None, data_type=, index_filterable=True, index_range_filters=False, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=_PropertyVectorizerConfig(skip=False, vectorize_property_name=False), vectorizer='text2vec-openai'), _Property(name='actionable_tips', description=None, data_type=, index_filterable=True, index_range_filters=False, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=_PropertyVectorizerConfig(skip=False, vectorize_property_name=False), vectorizer='text2vec-openai'), _Property(name='visualization_suggestions', description=None, data_type=, index_filterable=True, index_range_filters=False, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=_PropertyVectorizerConfig(skip=False, vectorize_property_name=False), vectorizer='text2vec-openai'), _Property(name='tools_technologies', description=None, data_type=, index_filterable=True, index_range_filters=False, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=_PropertyVectorizerConfig(skip=False, vectorize_property_name=False), vectorizer='text2vec-openai'), _Property(name='category', description=None, data_type=, index_filterable=True, index_range_filters=False, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=_PropertyVectorizerConfig(skip=False, vectorize_property_name=False), vectorizer='text2vec-openai'), _Property(name='definition', description=None, data_type=, index_filterable=True, index_range_filters=False, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=_PropertyVectorizerConfig(skip=False, vectorize_property_name=False), vectorizer='text2vec-openai'), _Property(name='standard_formula', description=None, data_type=, index_filterable=True, index_range_filters=False, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=_PropertyVectorizerConfig(skip=False, vectorize_property_name=False), vectorizer='text2vec-openai'), _Property(name='risk_warnings', description=None, data_type=, index_filterable=True, index_range_filters=False, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=_PropertyVectorizerConfig(skip=False, vectorize_property_name=False), vectorizer='text2vec-openai'), _Property(name='integration_points', description=None, data_type=, index_filterable=True, index_range_filters=False, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=_PropertyVectorizerConfig(skip=False, vectorize_property_name=False), vectorizer='text2vec-openai'), _Property(name='change_impact', description=None, data_type=, index_filterable=True, index_range_filters=False, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=_PropertyVectorizerConfig(skip=False, vectorize_property_name=False), vectorizer='text2vec-openai'), _Property(name='kpi', description=None, data_type=, index_filterable=True, index_range_filters=False, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=_PropertyVectorizerConfig(skip=False, vectorize_property_name=False), vectorizer='text2vec-openai'), _Property(name='business_insights', description=None, data_type=, index_filterable=True, index_range_filters=False, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=_PropertyVectorizerConfig(skip=False, vectorize_property_name=False), vectorizer='text2vec-openai'), _Property(name='diagnostic_questions', description=None, data_type=, index_filterable=True, index_range_filters=False, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=_PropertyVectorizerConfig(skip=False, vectorize_property_name=False), vectorizer='text2vec-openai'), _Property(name='meta_info', description=None, data_type=, index_filterable=True, index_range_filters=False, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=_PropertyVectorizerConfig(skip=False, vectorize_property_name=False), vectorizer='text2vec-openai'), _Property(name='child_url', description=None, data_type=, index_filterable=True, index_range_filters=False, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=_PropertyVectorizerConfig(skip=False, vectorize_property_name=False), vectorizer='text2vec-openai'), _Property(name='youtube_url', description=None, data_type=, index_filterable=True, index_range_filters=False, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=_PropertyVectorizerConfig(skip=False, vectorize_property_name=False), vectorizer='text2vec-openai'), _Property(name='title', description=None, data_type=, index_filterable=True, index_range_filters=False, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=_PropertyVectorizerConfig(skip=False, vectorize_property_name=False), vectorizer='text2vec-openai'), _Property(name='page_url', description=None, data_type=, index_filterable=True, index_range_filters=False, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=_PropertyVectorizerConfig(skip=False, vectorize_property_name=False), vectorizer='text2vec-openai'), _Property(name='source_tag __metadatat__ metadata', description=None, data_type=, index_filterable=True, index_range_filters=False, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=_PropertyVectorizerConfig(skip=False, vectorize_property_name=False), vectorizer='text2vec-openai'), _Property(name='organization_name__metadata', description='This property was ' "generated by Weaviate's " 'auto-schema feature on ' 'Thu Dec 12 06:19:46 2024', data_type=, index_filterable=True, index_range_filters=False, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=_PropertyVectorizerConfig(skip=False, vectorize_property_name=False), vectorizer='text2vec-openai'), _Property(name='data_period__metadata', description='This property was ' "generated by Weaviate's " 'auto-schema feature on ' 'Tue Dec 31 12:05:58 2024', data_type=, index_filterable=True, index_range_filters=False, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=_PropertyVectorizerConfig(skip=False, vectorize_property_name=False), vectorizer='text2vec-openai')], references=[], replication_config=_ReplicationConfig(factor=1, async_enabled=False, deletion_strategy=), reranker_config=_RerankerConfig(model={}, reranker=), sharding_config=_ShardingConfig(virtual_per_physical=128, desired_count=1, actual_count=1, desired_virtual_count=128, actual_virtual_count=128, key='_id', strategy='hash', function='murmur3'), vector_index_config=_VectorIndexConfigHNSW(quantizer=None, cleanup_interval_seconds=300, distance_metric=, dynamic_ef_min=100, dynamic_ef_max=500, dynamic_ef_factor=8, ef=-1, ef_construction=128, filter_strategy=, flat_search_cutoff=40000, max_connections=64, skip=False, vector_cache_max_objects=1000000000000), vector_index_type=, vectorizer_config=_VectorizerConfig(vectorizer=, model={'baseURL': 'https://rampp-openai-azure-api.openai.azure.com/', 'deploymentId': 'text-embedding-3-small', 'model': 'ada', 'resourceName': 'text-embedding-3-small'}, vectorize_collection_name=False), vectorizer=, vector_config=None) ``` **Query:** ```auto docs = Kip_vid_documents_azure.query.hybrid( query="What was the revenue of our company", alpha=0.7, limit=100, ) ``` **Error:** ```auto WeaviateQueryError: Query call with protocol GRPC search failed with message . ``` ---
**Author:** ![DudaNogueira](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/dudanogueira/32/7846_2.png) [@DudaNogueira](https://forum.weaviate.io/u/DudaNogueira)\ **Post date:** [January 23, 2025, 8:53pm UTC](https://forum.weaviate.io/t/hybrid-search-raises-an-api-key-error-when-used-with-azure-openai/9578/2 "2025-01-23T20:53:15Z")
hi @Bigdwarf43 !! Sorry for the delay here!! are you defining in docker compose AZURE\_APIKEY ? as per the doc: > **[Text Embeddings | Weaviate](https://weaviate.io/developers/weaviate/model-providers/openai-azure/embeddings#api-credentials)** > > Weaviate's integration with Azure OpenAI's APIs allows you to access their models' capabilities directly from Weaviate. ---
**Author:** ![Bigdwarf43](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/bigdwarf43/32/965_2.png) [@Bigdwarf43](https://forum.weaviate.io/u/Bigdwarf43)\ **Post date:** [March 24, 2025, 2:07pm UTC](https://forum.weaviate.io/t/hybrid-search-raises-an-api-key-error-when-used-with-azure-openai/9578/3 "2025-03-24T14:07:24Z")
Yes i have, the near\_text queries work fine I’m on weaviate-client == 4.10.2 and weaviate == semitechnologies/weaviate:1.28.1 ---
**Author:** ![Bigdwarf43](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/bigdwarf43/32/965_2.png) [@Bigdwarf43](https://forum.weaviate.io/u/Bigdwarf43)\ **Post date:** [March 27, 2025, 8:28am UTC](https://forum.weaviate.io/t/hybrid-search-raises-an-api-key-error-when-used-with-azure-openai/9578/4 "2025-03-27T08:28:48Z")
this is my module configuration “moduleConfig”: { “text2vec-openai”: { “baseURL”: “baseUrl”, “deploymentId”: “text-embedding-3-small”, “model”: “text-embedding-3-small”, “resourceName”: “text-embedding-3-small”, “vectorizeClassName”: false } } ---
**Author:** ![DudaNogueira](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/dudanogueira/32/7846_2.png) [@DudaNogueira](https://forum.weaviate.io/u/DudaNogueira)\ **Post date:** [March 27, 2025, 12:02pm UTC](https://forum.weaviate.io/t/hybrid-search-raises-an-api-key-error-when-used-with-azure-openai/9578/5 "2025-03-27T12:02:16Z")
> [@Bigdwarf43](#): > > 1.28.1 Do you get the same output on newer versions? the newest from this release is Weaviate 1.28.11