A .NET console app that calls Azure AI Search to create an index, indexer, data source, and skillset. An Azure Storage account provides the data. Azure OpenAI is called by the skillset during indexing, and again during query execution to vectorize text queries.
A collection of nine notebooks that demonstrate aspects of vector search, including data chunking and vectorization of both text and image content. The most recent one, custom-embeddings/azure-search-custom-vectorization-sample.ipynb, demonstrates how to call custom embedding model from a skillset.
A single folder contains three code samples. The azure-search-vector-sample.js script calls just Azure OpenAI and is used to generate embeddings for fields in an index. The docs-text-openai-embeddings.js program is an end-to-end code sample that calls Azure OpenAI for embeddings and Azure AI Seach to create, load, and query an index that contains vectors. The query-text-openai-embeddings.js script generates an embedding for a vector query.
Two separate Postman collections of REST API calls for generally available (2023-11-01) and preview (2023-10-01-preview) capabilities. GA version shows you how to create, load, and query vector and non-vector content in an index. Preview version demonstrates integrated data chunking and vectorization through indexers and skillsets. Use the Postman app for these samples.
GA and preview
Other vector samples and tools
chat-with-your-data-solution-accelerator A template that deploys multiple Azure resources for a custom chat-with-your-data solution. Use this accelerator to create a production-ready solution that implements coding best practices.
Azure Search OpenAI Demo A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. Use the "vectors" branch to leverage Vector retrieval.
Azure Search OpenAI Demo - C# A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences using C#.
Azure OpenAI Embeddings QnA with Azure Search as a Vector Store (github.com) A simple web application for a OpenAI-enabled document search. This repo uses Azure OpenAI Service for creating embeddings vectors from documents. For answering the question of a user, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
ChatGPT Retreival Plugin Azure Search Vector Database The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language. Azure AI Search now supported as an official vector database.