Pinecone.NET
2.1.0
See the version list below for details.
dotnet add package Pinecone.NET --version 2.1.0
NuGet\Install-Package Pinecone.NET -Version 2.1.0
<PackageReference Include="Pinecone.NET" Version="2.1.0" />
paket add Pinecone.NET --version 2.1.0
#r "nuget: Pinecone.NET, 2.1.0"
// Install Pinecone.NET as a Cake Addin #addin nuget:?package=Pinecone.NET&version=2.1.0 // Install Pinecone.NET as a Cake Tool #tool nuget:?package=Pinecone.NET&version=2.1.0
Pinecone.NET
Pinecone.NET is a fully-fledged C# library for the Pinecone vector database.
In the absence of an official SDK, it provides first-class support for Pinecone in C# and F#.
Features
- Standard operations on pod-based and serverless indexes
- gRPC and REST transports for vector operations
- Sparse-dense vectors
- Parallel vector upsert and fetch
- Efficient vector serialization
- Metadata support
- NativeAOT compatibility (e.g. for AWS Lambda)
Installation
dotnet add package Pinecone.NET
or Install-Package Pinecone.NET
Usage
Working with indexes
using Pinecone;
// Initialize the client with your API key
using var pinecone = new PineconeClient("your-api-key");
// List all indexes
var indexes = await pinecone.ListIndexes();
// Create a new index if it doesn't exist
var indexName = "myIndex";
if (!indexes.Contains(indexName))
{
await pinecone.CreateServerlessIndex(indexName, 1536, Metric.Cosine, "aws", "us-east-1");
}
// Get the Pinecone index by name (uses gRPC by default).
// The index client is thread-safe, consider caching and/or
// injecting it as a singleton into your DI container.
using var index = await pinecone.GetIndex(indexName);
// Configure an index
await pinecone.ConfigureIndex(indexName, replicas: 2, podType: "p2");
// Delete an index
await pinecone.DeleteIndex(indexName);
Working with vectors
// Assuming you have an instance of `index`
// Create and upsert vectors
var vectors = new[]
{
new Vector
{
Id = "vector1",
Values = new float[] { 0.1f, 0.2f, 0.3f },
Metadata = new MetadataMap
{
["genre"] = "horror",
["duration"] = 120
}
}
};
await index.Upsert(vectors);
// Fetch vectors by IDs
var fetched = await index.Fetch(["vector1"]);
// Query scored vectors by ID
var scored = await index.Query("vector1", topK: 10);
// Query scored vectors by a new, previously unseen vector
var vector = new[] { 0.1f, 0.2f, 0.3f, ... };
var scored = await index.Query(vector, topK: 10);
// Query scored vectors by ID with metadata filter
var filter = new MetadataMap
{
["genre"] = new MetadataMap
{
["$in"] = new[] { "documentary", "action" }
}
};
var scored = await index.Query("birds", topK: 10, filter);
// Delete vectors by vector IDs
await index.Delete(new[] { "vector1" });
// Delete vectors by metadata filter
await index.Delete(new MetadataMap
{
["genre"] = new MetadataMap
{
["$in"] = new[] { "documentary", "action" }
}
});
// Delete all vectors in the index
await index.DeleteAll();
Working with Collections
using Pinecone;
// Assuming you have an instance of `PineconeClient` named `pinecone`
// List all collections
var collections = await pinecone.ListCollections();
// Create a new collection
await pinecone.CreateCollection("myCollection", "myIndex");
// Describe a collection
var details = await pinecone.DescribeCollection("myCollection");
// Delete a collection
await pinecone.DeleteCollection("myCollection");
Contributing
Contributions are welcome! Feel free open an issue or a PR.
Product | Versions Compatible and additional computed target framework versions. |
---|---|
.NET | net6.0 is compatible. net6.0-android was computed. net6.0-ios was computed. net6.0-maccatalyst was computed. net6.0-macos was computed. net6.0-tvos was computed. net6.0-windows was computed. net7.0 is compatible. net7.0-android was computed. net7.0-ios was computed. net7.0-maccatalyst was computed. net7.0-macos was computed. net7.0-tvos was computed. net7.0-windows was computed. net8.0 is compatible. net8.0-android was computed. net8.0-browser was computed. net8.0-ios was computed. net8.0-maccatalyst was computed. net8.0-macos was computed. net8.0-tvos was computed. net8.0-windows was computed. |
-
net6.0
- CommunityToolkit.Diagnostics (>= 8.2.2)
- Google.Protobuf (>= 3.27.0)
- Grpc.Net.Client (>= 2.63.0)
- Grpc.Net.ClientFactory (>= 2.63.0)
- System.Net.Http.Json (>= 8.0.0)
- System.Text.Json (>= 8.0.3)
-
net7.0
- CommunityToolkit.Diagnostics (>= 8.2.2)
- Google.Protobuf (>= 3.27.0)
- Grpc.Net.Client (>= 2.63.0)
- Grpc.Net.ClientFactory (>= 2.63.0)
- System.Net.Http.Json (>= 8.0.0)
- System.Text.Json (>= 8.0.3)
-
net8.0
- CommunityToolkit.Diagnostics (>= 8.2.2)
- Google.Protobuf (>= 3.27.0)
- Grpc.Net.Client (>= 2.63.0)
- Grpc.Net.ClientFactory (>= 2.63.0)
NuGet packages (3)
Showing the top 3 NuGet packages that depend on Pinecone.NET:
Package | Downloads |
---|---|
Microsoft.SemanticKernel.Connectors.Pinecone
Pinecone connector for Semantic Kernel plugins and semantic memory |
|
Squidex.AI
Squidex Internal Libraries |
|
OBotService
OBase Framework |
GitHub repositories (2)
Showing the top 2 popular GitHub repositories that depend on Pinecone.NET:
Repository | Stars |
---|---|
microsoft/semantic-kernel
Integrate cutting-edge LLM technology quickly and easily into your apps
|
|
Azure-Samples/azure-search-openai-demo-csharp
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
|
Version | Downloads | Last updated |
---|---|---|
3.0.0 | 714 | 9/27/2024 |
2.1.1 | 40,935 | 6/21/2024 |
2.1.0 | 2,641 | 6/5/2024 |
2.0.0 | 670 | 5/18/2024 |
1.4.0 | 6,627 | 12/17/2023 |
1.3.2 | 8,697 | 11/21/2023 |
1.3.1 | 640 | 11/14/2023 |
1.3.0 | 24,605 | 8/15/2023 |
1.2.2 | 2,411 | 7/27/2023 |
1.2.1 | 4,860 | 7/7/2023 |
1.2.0 | 2,384 | 5/15/2023 |
1.1.0 | 103 | 5/13/2023 |
1.0.0 | 301 | 5/10/2023 |