internal static SearchIndex GetSampleIndex()

in demo-dotnet/DotNetIntegratedVectorizationDemo/Program.cs [203:274]
70 lines of code
1 McCabe index (conditional complexity)

        internal static SearchIndex GetSampleIndex(Configuration configuration)
        {
            const string vectorSearchHnswProfile = "my-vector-profile";
            const string vectorSearchExhasutiveKnnProfile = "myExhaustiveKnnProfile";
            const string vectorSearchHnswConfig = "myHnsw";
            const string vectorSearchExhaustiveKnnConfig = "myExhaustiveKnn";
            const string vectorSearchVectorizer = "myOpenAIVectorizer";
            const string semanticSearchConfig = "my-semantic-config";
            const int modelDimensions = 1536;

            SearchIndex searchIndex = new(configuration.IndexName)
            {
                VectorSearch = new()
                {
                    Profiles =
                    {
                        new VectorSearchProfile(vectorSearchHnswProfile, vectorSearchHnswConfig)
                        {
                            Vectorizer = vectorSearchVectorizer
                        },
                        new VectorSearchProfile(vectorSearchExhasutiveKnnProfile, vectorSearchExhaustiveKnnConfig)
                    },
                    Algorithms =
                    {
                        new HnswAlgorithmConfiguration(vectorSearchHnswConfig),
                        new ExhaustiveKnnAlgorithmConfiguration(vectorSearchExhaustiveKnnConfig)
                    },
                    Vectorizers =
                    {
                        new AzureOpenAIVectorizer(vectorSearchVectorizer)
                        {
                            AzureOpenAIParameters = new AzureOpenAIParameters()
                            {
                                ResourceUri = new Uri(configuration.AzureOpenAIEndpoint),
                                ApiKey = configuration.AzureOpenAIApiKey,
                                DeploymentId = configuration.AzureOpenAIEmbeddingDeployedModel,
                            }
                        }
                    }
                },
                SemanticSearch = new()
                {
                    Configurations =
                    {
                        new SemanticConfiguration(semanticSearchConfig, new()
                        {
                            TitleField = new SemanticField(fieldName: "title"),
                            ContentFields =
                            {
                                new SemanticField(fieldName: "chunk")
                            },
                        })
                    },
                },
                Fields =
                {
                    new SearchableField("parent_id") { IsFilterable = true, IsSortable = true, IsFacetable = true },
                    new SearchableField("chunk_id") { IsKey = true, IsFilterable = true, IsSortable = true, IsFacetable = true, AnalyzerName = LexicalAnalyzerName.Keyword },
                    new SearchableField("title"),
                    new SearchableField("chunk"),
                    new SearchField("vector", SearchFieldDataType.Collection(SearchFieldDataType.Single))
                    {
                        IsSearchable = true,
                        VectorSearchDimensions = modelDimensions,
                        VectorSearchProfileName = vectorSearchHnswProfile
                    },
                    new SearchableField("category") { IsFilterable = true, IsSortable = true, IsFacetable = true },
                },
            };

            return searchIndex;
        }