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Microsoft.SemanticKernel.Connectors.Milvus

dotnet/src/VectorData/Milvus/README.md

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Microsoft.SemanticKernel.Connectors.Milvus

This is an implementation of the Semantic Kernel Memory Store abstraction for the Milvus vector database.

Note: Currently, only Milvus v2.2 is supported. v2.3 is coming soon, older versions are untested.

Quickstart using a standalone Milvus installation

  1. Download the Milvus docker-compose.yml:
bash
wget https://github.com/milvus-io/milvus/releases/download/v2.2.14/milvus-standalone-docker-compose.yml -O docker-compose.yml
  1. Start Milvus:
bash
docker-compose up -d
  1. Use Semantic Kernel with Milvus, connecting to localhost with the default (gRPC) port of 1536:
csharp
using MilvusMemoryStore memoryStore = new("localhost");

var embeddingGenerator = new OpenAITextEmbeddingGenerationService("text-embedding-ada-002", apiKey);

SemanticTextMemory textMemory = new(memoryStore, embeddingGenerator);

var memoryPlugin = kernel.ImportPluginFromObject(new TextMemoryPlugin(textMemory));

More information on setting up Milvus can be found here. The MilvusMemoryStore constructor provides additional configuration options, such as the vector size, the similarity metric type, etc.