Returning content_vector when calling semantic_hybrid_search_with_score

[GrownUpLion]

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Example Code

This is how i initialize my vector_store
            vector_search = VectorSearch(
                algorithms=[
                    HnswAlgorithmConfiguration(
                        name="defaultHnsw",
                        kind=VectorSearchAlgorithmKind.HNSW,
                        parameters=HnswParameters(
                            metric=VectorSearchAlgorithmMetric.COSINE,
                            m=4,
                            ef_construction=400,
                            ef_search=500,
                        ),
                    )
                ],
                profiles=[
                    VectorSearchProfile(
                        name="HnswVectorSearchProfile",
                        algorithm_configuration_name="defaultHnsw",
                    )
                ],
            )
            fields = [
                SimpleField(name="id", type=SearchFieldDataType.String, key=True),
                SearchableField(name="content", type=SearchFieldDataType.String),
                SearchField(
                    name=FIELDS_CONTENT_VECTOR,
                    type=SearchFieldDataType.Collection(SearchFieldDataType.Single),
                    searchable=True,
                    vector_search_dimensions=EMBEDDINGS_DIMENSION,
                    vector_search_profile_name="HnswVectorSearchProfile",
                ),
                SearchableField(
                    name="metadata", type=SearchFieldDataType.String, searchable=True
                ),
                SearchableField(name="file", type="Edm.String", filterable=True),
                SimpleField(name="page", type="Edm.Int32"),
                SimpleField(
                    name="bbox",
                    type=SearchFieldDataType.Collection(SearchFieldDataType.Int32),
                ),
                SimpleField(name="category", type="Edm.String", filterable=True),
                SimpleField(name="source", type="Edm.String", filterable=True),
                SimpleField(name="user", type="Edm.String", filterable=True),
                SimpleField(
                    name="last_modified", type="Edm.DateTimeOffset", filterable=True
                ),
            ]
            semantic_configurations = [
                SemanticConfiguration(
                    name="Default",
                    prioritized_fields=SemanticPrioritizedFields(
                        content_fields=[
                            SemanticField(field_name="content")
                        ],
                        keywords_fields=[
                            SemanticField(field_name="metadata")
                        ],
                    )
                )
            ]
            
            vector_store = AzureSearch(
                azure_search_endpoint=AI_SEARCH_ENDPOINT,
                azure_search_key=AI_SEARCH_KEY,
                vector_search=vector_search,
                index_name=AI_SEARCH_INDEX,
                embedding_function=embeddings.embed_query,
                fields=fields,
                semantic_configurations=semantic_configurations,
                semantic_configuration_name="Default",
            )


And then i call it like this 

        results = self.vector_store.semantic_hybrid_search_with_score(
            query, k=k, filters=user_filter
        )

Description

Hi i am trying to use Lang chain library to retrieve documents based on a query, together with the content I would like to retrieve also the content_vector field, which i made searchable and retrievable. However when doin the call to semantic_hybrid_search_with_score() i can only retrieve the page content and the metadata, and I cannot find the way to retrieve the content vector also.

System Info

System Information

OS: Windows
OS Version: 10.0.26100
Python Version: 3.11.9 (tags/v3.11.9:de54cf5, Apr 2 2024, 10:12:12) [MSC v.1938 64 bit (AMD64)]

Package Information

langchain_core: 0.3.21
langchain: 0.3.8
langchain_community: 0.3.8
langsmith: 0.1.145
langchain_openai: 0.2.9
langchain_text_splitters: 0.3.2

Optional packages not installed

langserve

Other Dependencies

aiohttp: 3.11.7
async-timeout: Installed. No version info available.
dataclasses-json: 0.6.7
httpx: 0.27.2
httpx-sse: 0.4.0
jsonpatch: 1.33
numpy: 1.26.4
openai: 1.55.0
openai: 1.55.0
orjson: 3.10.12
packaging: 24.2
pydantic: 2.10.1
pydantic-settings: 2.6.1
PyYAML: 6.0.2
requests: 2.32.3
requests-toolbelt: 1.0.0
SQLAlchemy: 2.0.35
tenacity: 9.0.0
tiktoken: 0.8.0
typing-extensions: 4.12.2