Azure AI Search Platform
An Azure AI Search Platform is a search SaaS platform that is an Azure service.
- Context:
- It can support Azure Cognitive Search Services.
- It can make use of Azure Cognitive Search Indexes.
- …
- Example(s):
- Counter-Example(s):
- See: Azure OpenAI.
References
2023
- chat
| Service | AI-Powered Features | Scalability | Ease of Implementation | Pricing | Integration with other services |
|---|---|---|---|---|---|
| Azure Cognitive Search | Yes | High | Moderate | Pay-as-you-go, tiered pricing | Strong integration with Microsoft Azure services |
2023
- https://learn.microsoft.com/en-us/training/modules/intro-to-azure-search/1-introduction
- QUOTE: Searching for information online has never been easier. However, it's still a challenge to find information from documents that aren't in a search index. For example, every day, people deal with unstructured, typed, image-based, or hand-written documents. Often, people must manually read through these documents to extract and record their insights in order to persist the found data. Now we have solutions that can automate information extraction.
Knowledge mining is the term used to describe solutions that involve extracting information from large volumes of often unstructured data. One of these knowledge mining solutions is Azure Cognitive Search, a cloud search service that has tools for building user-managed indexes. The indexes can be used for internal only use, or to enable searchable content on public-facing internet assets.
Importantly, Azure Cognitive Search can utilize the built-in AI capabilities of Azure Cognitive Services such as image processing, content extraction, and natural language processing to perform knowledge mining of documents. The product's AI capabilities makes it possible to index previously unsearchable documents and to extract and surface insights from large amounts of data quickly.
- Azure Cognitive Search comes with the following features:
- Data from any source: Azure Cognitive Search accepts data from any source provided in JSON format, with auto crawling support for selected data sources in Azure.
- Full text search and analysis: Azure Cognitive Search offers full text search capabilities supporting both simple query and full Lucene query syntax.
- AI powered search: Azure Cognitive Search has Cognitive AI capabilities built in for image and text analysis from raw content.
- Multi-lingual: Azure Cognitive Search offers linguistic analysis for 56 languages to intelligently handle phonetic matching or language-specific linguistics. Natural language processors available in Azure Cognitive Search are also used by Bing and Office.
- Geo-enabled: Azure Cognitive Search supports geo-search filtering based on proximity to a physical location.
- Configurable user experience: Azure Cognitive Search has several features to improve the user experience including autocomplete, autosuggest, pagination, and hit highlighting.
- QUOTE: Searching for information online has never been easier. However, it's still a challenge to find information from documents that aren't in a search index. For example, every day, people deal with unstructured, typed, image-based, or hand-written documents. Often, people must manually read through these documents to extract and record their insights in order to persist the found data. Now we have solutions that can automate information extraction.
2023
- (Wikipedia, 2023) ⇒ https://en.wikipedia.org/wiki/Azure_Cognitive_Search Retrieved:2023-4-30.
- Microsoft Azure Cognitive Search, formerly known as Azure Search, is a component of the Microsoft Azure Cloud Platform providing indexing and querying capabilities for data uploaded to Microsoft servers. The Search as a service framework is intended to provide developers with complex search capabilities for mobile and web development while hiding infrastructure requirements and search algorithm complexities. Azure Search is a recent addition to Microsoft's Infrastructure as a Service (IaaS) approach.
2023
- https://github.com/Azure-Samples/azure-search-openai-demo/
- QUOTE: ... 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.
The repo includes sample data so it's ready to try end to end. In this sample application we use a fictitious company called Contoso Electronics, and the experience allows its employees to ask questions about the benefits, internal policies, as well as job descriptions and roles. ...
- QUOTE: ... 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.