GithubHelp home page GithubHelp logo

qlycool / azure-search-knowledge-mining Goto Github PK

View Code? Open in Web Editor NEW

This project forked from azure-samples/azure-search-knowledge-mining

0.0 0.0 0.0 51.6 MB

Azure Search Knowledge Mining Accelerator

License: MIT License

PowerShell 1.46% C# 6.91% HTML 3.16% CSS 77.32% JavaScript 7.49% Jupyter Notebook 3.40% Dockerfile 0.04% Python 0.22%

azure-search-knowledge-mining's Introduction

page_type languages products description urlFragment
sample
csharp
javascript
html
powershell
azure
Welcome to the Knowledge Mining Solution Accelerator!
azure-search-knowledge-mining

Knowledge Mining Solution Accelerator

Knowledge Mining Solution Accelerator

About this repository

Welcome to the Knowledge Mining Solution Accelerator! This accelerator provides developers with all of the resources they need to quickly build an initial Knowledge Mining prototype with Azure Cognitive Search. Use this accelerator to jump-start your development efforts with your own data or as a learning tool to better understand how you can use Cognitive Search to meet the unique needs of your business.

In this repository, we've provided you with all of the artifacts you need to quickly create a Cognitive Search Solution including: templates for deploying the appropriate Azure resources, assets for creating your first search index, templates for using custom skills, a basic web app, and PowerBI reports to monitor search solution performance. We've infused best practices throughout the documentation to help guide you. With Cognitive Search, you can easily index both digital data (such as documents and text files) and analog data (such as images and scanned documents).

Note: This guide uses the AI enrichment feature of Cognitive Search. AI enrichment allows you to ingest many kinds of data (documents, text files, images, scanned docs, and more), extract their contents, enrich and transform it, and then index it for exploration purposes. To learn more about this feature, see the AI in Cognitive Search doc.

Once you're finished, you'll have a web app ready to search your data.

A web app showing several resources and their lists of searchable tags

Prerequisites

In order to successfully complete your solution, you'll need to gain access and provision the following resources:

The directions provided in this guide assume you have a fundamental working knowledge of the Azure portal, Azure Functions, Azure Cognitive Search, Visual Studio and Postman. For additional training and support, please see:

Process overview

Clone or download this repository and then navigate through each of these folders in order, following the steps outlined in each of the README files. When you complete all of the steps, you'll have a working end-to-end solution that combines data sources with data enrichment skills, a web app powered by Azure Cognitive Search, and intelligent reporting on user search activity.

the cognitive indexing pipelines used for processing unstructured data in Azure Search

00 - Resource Deployment

The contents of this folder show you how to deploy the required resources to your Azure subscription. You can do this either through the Azure portal or using the provided PowerShell script.

Alternatively, you can automatically deploy the required resources using this button:

Deploy to Azure

If you need to deploy to Azure Government, check out the Azure Government version of the Knowledge Mining Solution Accelerator.

01 - Search Index Creation

This folder contains a Postman collection that you can use to create a search index. The collection is pre-configured to take advantage of out-of-the-box Cognitive Search functionality.

We recommend using this collection to create an initial search index and then iterating by editing the postman collection and adding custom skills as needed.

02 - Web UI Template

This folder contains a basic Web UI Template, written in .NET Core, which you can configure to query your search index. Follow the steps outlined in the Web UI Template README file to integrate your new search index into the web app.

03 - Data Science & Custom Skills

This folder contains examples and templates to add your own custom skills to your solution. These custom skills help to align the solution to the needs of your particular use case. This step is entirely optional and may be skipped if not needed.

For additional samples and information on custom skill development, see the Custom skill documentation. .NET Azure Function Custom Skills have moved to the Power Skills repository.

04 - Reporting

This folder contains pre-built PowerBI reports that you can use to monitor your solution and to understand user search behavior. They leverage data captured through Application Insights and can be modified to meet your particular business objectives. This step is entirely optional and may be skipped if not needed.

Sample Documents

This folder contains a small data set in a variety of file formats that you can use to build your solution if you don't have another data set available.

Workshop

Become an Azure Cognitive Search expert in a day! This folder contains a self paced workshop that teaches you everything you need to know. Most developer with Azure familiarity should be able to complete the majority of the modules below in 8 hours.

License

Please refer to LICENSE for all licensing information.

azure-search-knowledge-mining's People

Contributors

andycross avatar bleroy avatar christopherromero avatar csiebler avatar cynotebo avatar dependabot[bot] avatar dereklegenzoff avatar ignaciofls avatar jeff-ywang avatar jennifermarsman avatar kattsai avatar liamca avatar luyunmt avatar microsoftopensource avatar mkslalom avatar mrcarter8 avatar msftgits avatar negativeeddy avatar patrickfarley avatar pritish-devurkar avatar rob-derosa avatar ruoccofabrizio avatar soophiac avatar v-rajagt-zz avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.