本文說明如何使用Azure OpenAI 服務或Azure AI 搜尋服務(先前稱為 Azure 認知搜尋)來搜尋企業數據中的檔,並擷取結果,以提供 ChatGPT 樣式的問題和解答體驗。 此解決方案描述兩種方法: 內嵌方法:使用 Azure OpenAI 內嵌模型來建立向量化數據。 向量搜尋是顯著增加搜尋結果語意相關性的功能。
使用Azure OpenAI 与你的数据聊天 生成问题和回答 copilot 索引数据 概念 什么是搜索索引? 导入数据 索引器概述 操作指南 从Azure Blob 存储编制索引 从Azure SQL 数据库编制索引 从Azure Cosmos DB 编制索引 为任意数据编制索引 开发应用 教程 向Web 应用添加搜索 ...
この記事では、Azure OpenAI ServiceまたはAzure AI 検索(旧Azure Cognitive Search)を使用して、エンタープライズデータ内のドキュメントを検索し、結果を取得してChatGPTスタイルの質問と回答エクスペリエンスを提供する方法について説明します。 このソリューションで...
Skills that attach to Azure OpenAI, the model catalog in Azure AI Studio, or custom skills that attach to any external chunking and embedding model can be used during indexing to create vector data. Output is chunked vector content that can be ingested into a search index. Querying can ...
Microsoft.Sql/managedInstances (preview) 5 managedInstance Microsoft.CognitiveServices/accounts 6 7 openai_account1 If Azure Storage and Azure AI Search are in the same region, the connection to storage is made over the Microsoft backbone network, which means a shared private link is redundant for...
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. - Azure-Samples/azure-search-openai-demo
- Azure AI Search - Azure OpenAI Service Table of Contents Series 1: Extract Key Phrases for Search Queries Using Azure AI Search 1. Create a Blob Container 2. Store PDF Documents in Azure Blob Storage 3. Create an AI Search Service 4. Connect to Data from...
This sample demonstrates a few approaches for creating ChatGPT-like experiences over your own data using the Retrieval Augmented Generation pattern. It uses Azure OpenAI Service to access the ChatGPT model (gpt-35-turbo), and Azure Cognitive Search for data indexing and retrieval. ...
but thanks to Azure OpenAI, everyone has an easily accessible REST service that can used to get the embeddings using pre-trained ML models. In this article we will useOpenAI to generate vectors for doing similarity searchand then use Azure SQL database to store and search for similar vectors...
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