Pinecone is a fully-fledged C# library for the Pinecone vector database. It aims to provide identical functionality to the official Python and Rust libraries. This is fork of Pinecone.NET.
-
Updated
Jul 15, 2024 - C#
Pinecone is a fully-fledged C# library for the Pinecone vector database. It aims to provide identical functionality to the official Python and Rust libraries. This is fork of Pinecone.NET.
This repository contains a console application that calculates the cosine similarity between texts using Azure OpenAI embedding models.
A repository that showcases the Vector Support in Azure SQL Database to perform embeddings and RAG with Azure OpenAI.
An example that shows how to use Semantic Kernel and Kernel Memory to work with embeddings in a .NET application using SQL Server as Vector Database.
A lightweight implementation of Kernel Memory as a Service
A recursive text chunker that attempts to break the text on meaningful boundaries.
A ChatGPT integration library for .NET, supporting both OpenAI and Azure OpenAI Service
Semantic search in Unity!
🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
Face recognition and analytics library based on deep neural networks and ONNX runtime
Example how to implement a question & answer flow using semantic search with OpenAI - by using C# & Semantic Kernel
This library provides Discord.NET bots, including NDB, with easy embed functionality.
Woocommerce with openAI
Sample of implementing a simple in-memory vector store
C# library for fast embeddings projection using Uniform Manifold Approximation and Projection
C# library for approximate nearest neighbors search using Hierarchical Navigable Small World graphs
The room-mapping-ai is a proof-of-concept (POC) web api that allows users to find the best possible matches of hotel room names using AI
Add a description, image, and links to the embeddings topic page so that developers can more easily learn about it.
To associate your repository with the embeddings topic, visit your repo's landing page and select "manage topics."