.NET SDK for Qdrant vector database.
dotnet add package Qdrant.ClientA client can be instantiated with
var client = new QdrantClient("localhost");which creates a client that will connect to Qdrant on http://localhost:6334.
Internally, the high level client uses a low level gRPC client to interact with Qdrant. Additional constructor overloads provide more control over how the gRPC client is configured. The following example configures a client to use TLS, validating the certificate using its thumbprint, and also configures API key authentication:
var channel = QdrantChannel.ForAddress("https://localhost:6334", new ClientConfiguration
{
ApiKey = "<api key>",
CertificateThumbprint = "<certificate thumbprint>"
});
var grpcClient = new QdrantGrpcClient(channel);
var client = new QdrantClient(grpcClient);Important
IMPORTANT NOTICE for .NET Framework
.NET Framework has limited supported for gRPC over HTTP/2, but it can be enabled by
- Configuring qdrant to use TLS, and you must use HTTPS, so you will need to set up server certificate validation
- Referencing
System.Net.Http.WinHttpHandler6.0.1 or later, and configuringWinHttpHandleras the inner handler forGrpcChannelOptions
The following example configures a client for .NET Framework to use TLS, validating the certificate using its thumbprint, and also configures API key authentication:
var channel = GrpcChannel.ForAddress($"https://localhost:6334", new GrpcChannelOptions
{
HttpHandler = new WinHttpHandler
{
ServerCertificateValidationCallback =
CertificateValidation.Thumbprint("<certificate thumbprint>")
}
});
var callInvoker = channel.Intercept(metadata =>
{
metadata.Add("api-key", "<api key>");
return metadata;
});
var grpcClient = new QdrantGrpcClient(callInvoker);
var client = new QdrantClient(grpcClient);Once a client has been created, create a new collection
await client.CreateCollectionAsync("my_collection",
new VectorParams { Size = 100, Distance = Distance.Cosine });Insert vectors into a collection
// generate some vectors
var random = new Random();
var points = Enumerable.Range(1, 100).Select(i => new PointStruct
{
Id = (ulong)i,
Vectors = Enumerable.Range(1, 100).Select(_ => (float)random.NextDouble()).ToArray(),
Payload =
{
["color"] = "red",
["rand_number"] = i % 10
}
}).ToList();
var updateResult = await client.UpsertAsync("my_collection", points);Search for similar vectors
var queryVector = Enumerable.Range(1, 100).Select(_ => (float)random.NextDouble()).ToArray();
// return the 5 closest points
var points = await client.SearchAsync(
"my_collection",
queryVector,
limit: 5);Search for similar vectors with filtering condition
// static import Conditions to easily build filtering
using static Qdrant.Client.Grpc.Conditions;
// return the 5 closest points where rand_number >= 3
var points = await _client.SearchAsync(
"my_collection",
queryVector,
filter: Range("rand_number", new Range { Gte = 3 }),
limit: 5);
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