RAGSimple-02MEAIVectorsMemory: MongoDb

using Microsoft.Extensions.AI;
using Microsoft.Extensions.VectorData;
// using Microsoft.SemanticKernel.Connectors.InMemory;
using Microsoft.SemanticKernel.Connectors.MongoDB;

// var vectorStore = new InMemoryVectorStore();

var mongoClient = new MongoDB.Driver.MongoClient("mongodb://localhost:27017"); // ()
MongoDBVectorStore mongoDbVectorStore = new MongoDBVectorStore(mongoClient.GetDatabase("movies"), new MongoDBVectorStoreOptions());

// var moviesCollection = mongoDbVectorStore.GetCollection<int, MovieVector<int>>("movies"); //>()

// get movie list
var movies = mongoDbVectorStore.GetCollection<string, MovieVector<string>>("movies");
// await movies.CreateCollectionIfNotExistsAsync();
var movieData = MovieFactory<string>.GetMovieVectorList();

// get embeddings generator and generate embeddings for movies
IEmbeddingGenerator<string, Embedding<float>> generator =
    new OllamaEmbeddingGenerator(new Uri("http://localhost:11434/"), "all-minilm");
foreach (var movie in movieData)
{
    movie.Vector = await generator.GenerateEmbeddingVectorAsync(movie.Description);
    await movies.UpsertAsync(movie);
}

// perform the search
var query = "A family friendly movie that includes ogres and dragons";
var queryEmbedding = await generator.GenerateEmbeddingVectorAsync(query);
var searchOptions = new Microsoft.Extensions.VectorData.VectorSearchOptions<MovieVector<string>>()
{
    Top = 2,
    VectorPropertyName = "Vector",
    IncludeVectors = true,
};

try
{
    var results = await movies.VectorizedSearchAsync(queryEmbedding, searchOptions);

    await foreach (var result in results.Results)
    {
        Console.WriteLine($"Title: {result.Record.Title}");
        Console.WriteLine($"Description: {result.Record.Description}");
        Console.WriteLine($"Score: {result.Score}");
        Console.WriteLine();
    }
}
catch (Exception e)
{
    Console.WriteLine(e);
    throw;
}




<Project Sdk="Microsoft.NET.Sdk">
  <PropertyGroup>
    <OutputType>Exe</OutputType>
    <TargetFramework>net9.0</TargetFramework>
    <RootNamespace>MEAIVector01_</RootNamespace>
    <ImplicitUsings>enable</ImplicitUsings>
    <Nullable>enable</Nullable>
  </PropertyGroup>
  <ItemGroup>
    <PackageReference Include="Microsoft.Extensions.AI.Ollama" Version="9.3.0-preview.1.25161.3" />
    <PackageReference Include="Microsoft.Extensions.VectorData.Abstractions" Version="9.0.0-preview.1.25161.1" />
    <PackageReference Include="Microsoft.SemanticKernel.Connectors.InMemory" Version="1.41.0-preview" />
    <PackageReference Include="Microsoft.SemanticKernel.Connectors.MongoDB" Version="1.41.0-preview" />
    <PackageReference Include="MongoDB.Driver" Version="3.2.1" />
  </ItemGroup>
  <ItemGroup>
    <ProjectReference Include="..\MEAIVectorsShared\MEAIVectorsShared.csproj" />
  </ItemGroup>
</Project>