Credits: Technical content by Azure AI Search Senior PM Gia Mondragon

Introduction

When working with RAG (Retrieval-Augmented Generation) applications, the retriever, such as Azure AI Search, plays a crucial role in obtaining the most relevant results for the language model to deliver a response to end users. It is essential to store data representations that are semantically similar to specific user searches, such as vectors, which are a key component in vector and hybrid search. The task of parsing, chunking, vectorizing data and storing it in an index is handled by an Azure AI Search feature known as integrated vectorization. For supported data sources, this functionality also enables automated data ingestion, enrichment and processing.

However, there are numerous data sources not directly integrated with AI Search but accessible through a variety of connectors available in Azure Logic Apps. Azure Logic Apps has introduced new functionality that facilitates every step required to process documents from their connectors for unstructured data. Now data extraction, pulling files, parsing data, chunking, vectorizing and indexing your data into Azure AI Search is all streamlined into one integrated flow. Additionally, Azure Logic Apps now offers templates for high-demand connectors, with predefined indexing workflows for RAG-ready AI Search indexes, simplifying the creation of these workflows. Some of these templates include indexing pipelines for files located in SharePoint Online, Azure Files, SFTP, among others.

How to get started

Prerequisites:

A data source with unstructured data supported by Azure Logic Apps connectors
Azure Logic App (Workflow Service Plan)
Azure AI Search service
Azure OpenAI service with a deployed text embedding model
Azure Logic App built-in template. This is so you don’t have to create your own workflow. Note that you can create your own as well. However, this is not covered as part of this blog post. This tutorial shows how to index files that you add after the workflow creation in an Azure Files share. 

Azure AI Search index creation 

This integration at this time needs an index created in Azure AI Search with the following schema (as a minimum). Later in this article we will explain how you can update the workflow to map more fields to each document chunk accordingly. 

Azure AI Search index: Minimum schema needed for this integration 

Note: The sample index definitions below include a vector field with 3072 dimensions, corresponding to the Azure OpenAI text-embedding-3-large model. If you use a different Azure OpenAI embedding model or a different dimensionality, you must adjust the index definition accordingly before index creation.  

{

  “name”: “chunked-index”,

  “fields”: [

    {

      “name”: “id”,

      “type”: “Edm.String”,

      “searchable”: true,

      “retrievable”: true,

      “key”: true

  },

    {

      “name”: “documentName”,

      “type”: “Edm.String”,

      “searchable”: true,

      “retrievable”: true

    },

    {

      “name”: “content”,

      “type”: “Edm.String”,

      “searchable”: true,

      “retrievable”: true

    },

    {

      “name”: “embeddings”,

      “type”: “Collection(Edm.Single)”,

      “searchable”: true,

      “filterable”: false,

      “retrievable”: true,

      “dimensions”: 3072,

      “vectorSearchProfile”: “vector-profile”

    }

  ],

  “vectorSearch”: {

    “algorithms”: [

      {

        “name”: “vector-config”,

        “kind”: “hnsw”,

        “hnswParameters”: {

          “metric”: “cosine”,

          “m”: 4,

          “efConstruction”: 400,

          “efSearch”: 500

        },

        “exhaustiveKnnParameters”: null

      }

    ],

    “profiles”: [

      {

        “name”: “vector-profile”,

        “algorithm”: “vector-config”

      }

    ]

  }

}

Azure AI Search index: Vectorization at query time

If you need Azure AI Search to also vectorize your data at query time, instead of performing this operation from the orchestrator end from your RAG application, you can use the following JSON definition for your index. You need to make sure to change the Azure OpenAI endpoint and change for yours. Also, create a service-managed identity for your AI Search service, and follow the instructions to assign the Cognitive Services OpenAI User role in your Azure OpenAI service. 

{

  “name”: “chunked-index”,

  “fields”: [

    {

      “name”: “id”,

      “type”: “Edm.String”,

      “searchable”: true,

      “retrievable”: true,

      “key”: true

  },

    {

      “name”: “documentName”,

      “type”: “Edm.String”,

      “searchable”: true,

      “retrievable”: true

    },

    {

      “name”: “content”,

      “type”: “Edm.String”,

      “searchable”: true,

      “retrievable”: true

    },

    {

      “name”: “embeddings”,

      “type”: “Collection(Edm.Single)”,

      “searchable”: true,

      “filterable”: false,

      “retrievable”: true,

      “dimensions”: 3072,

      “vectorSearchProfile”: “vector-profile”

    }

  ],

  “vectorSearch”: {

    “algorithms”: [

      {

        “name”: “vector-config”,

        “kind”: “hnsw”,

        “hnswParameters”: {

          “metric”: “cosine”,

          “m”: 4,

          “efConstruction”: 400,

          “efSearch”: 500

        },

        “exhaustiveKnnParameters”: null

      }

    ],

    “profiles”: [

      {

        “name”: “vector-profile”,

        “algorithm”: “vector-config”,

“vectorizer”: “azureOpenAI-vectorizer”

      }

    ],

    “vectorizers”: [

      {

        “name”: “azureOpenAI-vectorizer”,

        “kind”: “azureOpenAI”,

        “azureOpenAIParameters”: {

          “resourceUri”: “https://<yourAOAIendpoint>.openai.azure.com”,

          “deploymentId”: “text-embedding-3-large”,

          “modelName”: “text-embedding-3-large”

        }

    ],

  }

}

Create index from JSON in Azure portal 

This is how you can create the index from the Azure portal using the JSON template above: 

Go to your AI Search service, select Search Management -> Indexes and click on Add index and select Add index (JSON) from the dropdown menu. 

Figure 1 – Create Azure AI Search index from JSON using Azure portal

Delete the JSON structure that appears at the right, copy the JSON template above according to your needs and paste in the canvas at the right. Click on Save. 

Figure 2 – Copy the JSON template provided in this tutorial for index creation

The index that is created with the template is called chunked-index and we’ll use it as the target index in this example.  

Using Azure Logic App workflow templates to import data from your unstructured data source 

Go to your Logic App resource, click on Workflows > Workflows and click on +Add > Add from Template 

Figure 3 – Add workflow from Template in Azure Logic App

Look for azure ai search in the search box and choose the template that aligns with your data source. Note that you should be able to use any Azure Logic App supported connector of unstructured data so you can use it to import data to AI Search with this same chunking and embedding pattern, but you will need to modify the workflow according to your needs. 
In this case we will choose the “Azure Files: Ingest and index documents at a schedule using Azure OpenAI and Azure AI Search – RAG pattern” 

Figure 4 – Choose Azure Files RAG template

  Select Use this template 

Figure 5 – Review the workflow and select it

Choose a workflow name and type it. Click on Next. 

Figure 6 – Name your workflow

 Click on Connect for each connection in the template configuration and add your existing endpoints which correspond to your data source (in this case Azure Files, your Azure AI Search service and your AOAI service)  

Figure 7 – Configure connector connections

Examples of how each connection configuration looks like are here. Make sure that you have a minimum role of Contributor access over the resources to establish the connections. 

For Azure Files connection: Your Azure Storage account URI is under your Azure Storage account Settings > Endpoints > File Service and the domain is .file.core.windows.net. You can find the connection string under the Storage Account Security + Network > Keys > Connection String.

Copy the URI and add to the Storage Account URI configuration and the connection string in their respective fields.

Figure 8 – Azure Files connection configuration

For Azure AI Search connection: The Azure AI Search endpoint URL is under your AI Search service Overview > Essentials > URL and the domain is .search.windows.net. 

In case your setup is with admin key, you’ll find it under AI Search service Settings >  Keys > Primary Admin Key. 

Figure 9 – AI Search connection

For Azure OpenAI connection: The Azure OpenAI endpoint URL is under your Azure OpenAI service Resource Management > Keys and Endpoint > Endpoint and the suffix  domain is .openai.azure.com. For key setup copy Key1 and copy in the Authentication Key configuration.  

Figure 10 – Azure OpenAI connection

After configuring all services connections, click Next. 

Figure 11 – Connections configuration complete

Fill out the following indexing configuration details. It assumes that: 

You already created the index with one of the templates above. 
You have an Azure OpenAI embedding model called “text-embeddings-3-large”in your AOAI deployed instance. 

Indexing Workflow configuration details: 

AISearch index name: This is the name of the index that we’ve created as part of this tutorial. 
OpenAI text embedding deployment identifier = text-embedding-3-large. This is the name of the Azure OpenAI embedding model deployment: This is the embedding model deployment name (not the model name – in this case is the same though). 

Figure 12 – Azure OpenAI embedding model name

   Azure Files storage Folder Name: This is the name of your Azure Files file share, where your files are located.  

Figure 13 – Azure Files share name

Click Next and then Create. 

Figure 14 – Review workflow details and create

Click on Go to My Workflow and wait until the initial run is completed. This is scheduled to be triggered to check for any new files added to your Azure Files share. After you add new files to your configured file share, you must see them reflected in your AI Search index.
Right after you have initial vectorized data in your index, you can use the index in this tutorial to chat with your data from your preferred RAG orchestrator such as Azure AI Studio.
To use your Azure AI Search index in Azure AI Studio go to Project Playground > Chat > Add your data > Add a new data source and follow the instructions to set up your index. 
Note: If you created an index with the minimal JSON configuration in this tutorial, you must follow the instructions in the Azure AI Studio documentation here as is. However, if you used the option of adding an index vectorizer, you must remove the vector option from the AI Studio configuration since the index will contact your embedding model directly.

Figure 15 – Azure AI Studio Chat Playground “Add your data”

Additional considerations 

For optimal AI search relevance, consider using a hybrid approach that combines vector and keyword search along with a semantic ranker. This method is generally more effective for many use cases. For more information, please visit: Azure AI Search Outperforming Vector Search with Hybrid. 
 
This case focuses specifically on fixed-chunking and text-only scenarios. 

Get started building your RAG application with low code using Azure AI Search and Azure Logic Apps. 

Azure AI Search and its latest features.    
Azure Logic Apps and Azure Logic App connector for AI Search index 
Logic App connectors. 
Create a search service in the Azure Portal, Azure CLI, the Management REST API, ARM template, or a Bicep file.    
Retrieval Augmented Generation in Azure AI Search.  
Pricing:

AI Search Pricing
Azure Logic Apps Pricing
Azure OpenAI models Pricing

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Express.js: Express.js is a flexible and scalable web framework for building web applications and APIs, supporting a wide range of HTTP methods and middleware for request/response handling. It enables rapid prototyping and efficient development with minimal boilerplate code, and integrates seamlessly with popular databases like MongoDB, MySQL, and PostgreSQL.

F33 Cloud Marketplace Portal – Streamline Cloud Selling: Designed exclusively for businesses seeking to list on major cloud marketplaces, the F33 Cloud Marketplace Portal addresses the unique challenges and requirements of each cloud marketplace separately. Streamlines the submission process, ensure compliance, and enhance performance in cloud marketplaces with the F33 Cloud Marketplace Portal.

Falcon with NumPy and Pandas v3.1.3 on Ubuntu v20: Falcon is a Python web framework for building APIs with high performance and efficiency. It can handle a high volume of requests concurrently, supports asynchronous programming, and provides middleware support for easy integration of features. Falcon is well-documented and suitable for applications that require fast processing and responsiveness.

FieldWISE Enterprise: FieldWISE provides real-time insights for agriculture enterprises, enabling better decision-making across crop and input supply chains. It enhances field protection and management, improves farm productivity, and helps design accurate crop insurance and financial solutions. The platform supports various agriculture industries and streamlines operations while fostering stronger relationships with farmers.

Flask: DFlask is a lightweight and flexible web framework for Python, offering easy-to-use tools and libraries for building web applications quickly and efficiently. It follows the WSGI specification and supports extension with various libraries and frameworks.

Fluentis ERP: Fluentis ERP is a cloud-based solution designed to support and simplify all business management activities. It offers four different bundles to cater to specific business needs, from basic administrative tasks to complete production cycle management. With Fluentis ERP, businesses can enjoy the benefits of a powerful ERP engine with rapid and flexible installation and high customization options.

Foundational Hardened Image for Microsoft Windows Server 2019: Level 1: This Azure-based virtual machine comes with a pre-configured Microsoft Windows Server 2019 image optimized for security, featuring advanced hardening measures to protect against vulnerabilities and ensure compliance with industry best practices. It maps to many established standards and regulatory frameworks, including NIST Cybersecurity Framework, ISO 27000, PCI DSS, and HIPAA.

Foundational Hardened Image for Microsoft Windows Server 2022: Level 1: This Azure-based virtual machine comes with the latest Microsoft Windows Server 2022 image optimized for security, featuring advanced hardening measures to protect against vulnerabilities and ensure compliance with industry best practices. It maps to many established standards and regulatory frameworks, making it a good starting point for organizations to establish a baseline level of security. 

Froxlor: Froxlor is an open-source server management panel that simplifies web hosting administration with a web-based interface. It supports multiple server configurations, SSL management, resource management, and customizable customer and reseller management. 

Gigamon GigaVUE Cloud Suite v6.8 for Azure: Gigamon’s GigaVUE Cloud Suite for Azure provides complete application and packet-level visibility into all data-in-motion running on Azure. It strengthens security and compliance postures, simplifies cloud migrations and IT processes, and expedites issue identification and root cause analysis. The solution includes Cloud Tap Modules, GigaVUE V Series, and GigaVUE-FM for centralized deep observability orchestration and management.

GLPI: GLPI is an open-source IT asset management and help desk solution with customizable dashboards, reporting tools, and user management. Credentials are stored securely in the credentials.txt file. 

Golang: Golang is a statically typed, compiled programming language developed by Google, emphasizing simplicity, efficiency, and concurrent programming. It has a clean syntax, high performance, built-in support for concurrency, strong standard library, and static typing for code reliability.

Graylog v6.0 on Ubuntu v20: Graylog is an open-source log management and analysis platform that centralizes log data from various sources, providing a comprehensive view of IT environments. Its powerful search functionality, custom dashboards, and alerting capabilities help troubleshoot issues, improve security, and respond to potential threats.

Guance: Guance provides a full-stack observability platform for cloud-based workflows, offering end-to-end traces, metrics, and logs to ensure system security and customer satisfaction. With global deployment, tech stack integration, and compliance with GDPR and CCPA, Guance is a smart choice for modern enterprises seeking comprehensive monitoring and observability.

H2O, NumPy, and Pandas v3.46.0.5 on Ubuntu v20: H2O is an open-source platform for data analysis and machine learning, ideal for big data environments. NumPy is a foundational library for scientific computing in Python, while Pandas is a powerful data manipulation and analysis library for structured data. All are essential tools for numerical analysis and data manipulation.

Hardened Red Hat Enterprise Linux 9 Image – Level 1: Foundational: This Azure-based virtual machine comes with Red Hat Enterprise Linux 9 image optimized for security, featuring advanced hardening measures to protect against vulnerabilities and ensure compliance with industry best practices. It maps to many established standards and regulatory frameworks, including NIST Cybersecurity Framework, ISO 27000 series, PCI DSS, HIPAA, and others. 

Hardened Red Hat Enterprise Linux 8 Image – Level 1: Foundational: This Azure-based virtual machine comes with Red Hat Enterprise Linux 8 image optimized for security, featuring advanced hardening measures to protect against vulnerabilities and ensure compliance with industry best practices. It maps to many established standards and regulatory frameworks, including NIST Cybersecurity Framework, ISO 27000 series, PCI DSS, and HIPAA. 

Hardened Red Hat Enterprise Linux 8 Image – Level 2: Advanced: This Azure-based virtual machine comes with Red Hat Enterprise Linux 8 pre-configured for security, featuring advanced hardening measures to protect against vulnerabilities and ensure compliance. It maps to established standards and regulatory frameworks and can be customized based on specific security requirements. 

Hardened Red Hat Enterprise Linux 9 Image – Level 2: Advanced: This Azure-based virtual machine comes with Red Hat Enterprise Linux 9 pre-configured for security, featuring advanced hardening measures to protect against vulnerabilities and ensure compliance. It maps to established standards and regulatory frameworks, but organizations may need to customize it based on their specific security requirements. 

Icecast: Icecast is an open-source streaming media server software that supports multiple streaming formats, access control features, and real-time monitoring and logging capabilities.

InfluxDB: InfluxDB is an open-source time-series database optimized for monitoring, metrics, and analytics. It offers high-performance data storage and retrieval, powerful querying capabilities, efficient data compression, and integration with various visualization and monitoring tools. 

IntelePeer SmartAgent: SmartAgent is an AI-powered communication automation solution for contact centers that can handle simple to complex customer and employee interactions. It offers advanced analytics and omni-channel orchestration, making it a great alternative to traditional live agents.

IntelePeer SmartOffice: IntelePeer’s SmartOffice solution uses AI and analytics to automate inbound customer interactions, reducing costs and optimizing ROI for regional offices. The system can quickly escalate and route calls to different departments while capturing customer context and data intelligence. It provides a professional and hassle-free experience for customers without the need for human intervention.

iTop: iTop is an open-source IT service management and asset management software with comprehensive features for managing IT assets, incidents, problems, changes, and service requests. Database credentials can be obtained by entering a command in the virtual machine. 

Ivanti Workspace Manager: Ivanti User Workspace Manager streamlines desktop setup, reduces IT expenses, and enhances user sessions while improving the user experience. It allows for a customized, secure user workspace across physical, virtual, and cloud desktops, making migrations and Microsoft 365 adoption easier while exceeding user productivity SLAs.

Jitsi: Jitsi is an open-source platform that offers secure, scalable, and customizable video conferencing solutions with features like multi-user video conferencing, screen sharing, and collaboration tools. 

Knowledge Base Assistant: ChatPorter AI Assistant is an advanced system that supports employees, partners, and customers through conversational interactions. It seamlessly integrates with various data sources and systems through APIs and webhooks, powered by Azure platform and LLM models from OpenAI.

Kotlin: Kotlin is a modern, concise, and expressive programming language with features like null pointer exception prevention, code modularity, data classes, and coroutines for asynchronous programming. 

Kubeflow and MLFlow by EDGE AI: Kubeflow is an enterprise-ready MLOps platform for data science labs, while MLFlow is an open-source MLOps platform for building better models and generative AI apps. MicroK8s is a zero-ops, pure-upstream Kubernetes platform, and Juju is a software operations tool for deploying and managing applications at scale.

Locust: Locust is an open-source load testing tool written in Python that provides a scalable and user-friendly platform for load testing, enabling you to simulate thousands of concurrent users accessing your web applications and APIs.

MagicOrange ITFM Edition: MagicOrange provides a unified approach to strategic financial planning, offering granular cost and profitability analysis, democratization of insights, cost optimization potential, and scenario simulation. The platform supports profitability, costing, and chargebacks, planning and scenario analysis, cost to serve, carrying cost, service catalog, activity-based costing, and return on marketing investment. 

Matomo: Matomo is an open-source web analytics platform that provides customizable dashboards, detailed reports, and the ability to integrate with various data sources. It helps understand website traffic and user behavior, enabling data-driven decisions for improving online presence. 

MatterMost:  Mattermost is an open-source team communication platform with secure messaging, file sharing, and integration capabilities. It enables teams to collaborate efficiently through organized channels, direct messages, and advanced search features. 

Mautic: Mautic is an open-source marketing automation platform that offers personalized email campaigns, automated workflows, and analytics. Credentials are stored securely in the credentials.txt file, and users access the web interface at http://your-server-ip. 

Maya File Safe: File Safe is an online tool that anonymizes sensitive data uploaded in CSV or XLSX files. It’s ideal for organizations that need to comply with privacy regulations.

Meeranda Audiovisual Customer Experience Manager: Meeranda is a real-time generative AI corporate concierge agent that offers personalized support to employees and customers. It can address internal and external customer needs, act as Tier 1 support, and seamlessly integrate with CRM. Meeranda offers plans for companies of all sizes with aggressive pricing and customizable features. 

MERN Stack: MERN Stack on Ubuntu 22.04 is a full-stack JavaScript framework used to build dynamic, responsive web applications. It combines MongoDB, Express.js, Vue.js, and Node.js to allow developers to build scalable, high-performance applications using a single programming language. Hosting MERN applications on Azure ensures security, scalability, and reliability with cloud-native benefits. 

MLflow v2.16.2 on Ubuntu v20: MLflow simplifies the management of machine learning workflows, from experiment tracking to model deployment and monitoring. Its core features include tracking, projects, models, and model registry, which ensure reproducibility, versioning, and streamlined collaboration across teams. MLflow is highly adaptable and suitable for a range of machine learning applications, making it easy to run consistent experiments across various machines.

Mobb: Automatic Vulnerability Fixer: Mobb Fixer uses AI and deterministic algorithms to generate accurate code fixes for vulnerabilities detected by SAST providers. It reduces security backlogs and integrates easily into any CI/CD pipeline, freeing developers to focus on innovation.

Moodle: Moodle is an open-source learning management system with customizable themes and plugins, facilitating collaboration and communication among students and teachers. Moodle is accessible on the go with its mobile app. 

MRBS: MRBS is an open-source tool for managing and booking meeting rooms with customizable booking forms and support for multiple rooms and resources. Credentials are stored securely.

Neofetch: Neofetch is a lightweight, customizable, and easy-to-use command-line system information tool that displays detailed information about your system and its environment. It supports displaying system logos and ASCII art based on the detected distribution and can be customized extensively using command-line flags or configuration files.

Next.js: Next.js is an open-source framework built on top of React.js for building modern web applications, providing powerful features for server-side rendering, static site generation, and seamless developer experience. It includes server-side rendering, file-based routing, CSS and Sass support, image optimization, TypeScript integration, environment variables, and API routes. 

Nextcloud:  Nextcloud is a secure open-source file synchronization and sharing platform with collaboration features and integrations. Credentials are stored in /var/www/credentials.txt. 

Nginx: Nginx is a high-performance, low-resource web server with load balancing and reverse proxy capabilities, supporting various protocols and integrating well with web technologies. 

Node-RED: Node-RED is an open-source platform for visual programming and automation with extensive pre-built components, real-time collaboration, and end-to-end encryption for data security. Access it by running $node-red on your VM and visiting http://your-ip-address:1880.

NumPy: NumPy is a Python library for scientific computing, known for its performance and support for large, multi-dimensional arrays. Pandas is a versatile library for data manipulation and analysis, built on top of NumPy. Hugging Face Transformers is an open-source library for natural language processing tasks, providing access to pre-trained transformer models like BERT and GPT. 

OpenAI Gym with NumPy and Pandas on Ubuntu v20: OpenAI Gym is a toolkit for developing and comparing reinforcement learning algorithms. NumPy provides high-performance array structures and mathematical functions for numerical computing, while Pandas simplifies data manipulation and analysis. Together, they create a robust foundation for reinforcement learning research and development.

Oracle 9 Minimal with Jellyfin – Streaming Media Server: Jellyfin is an open-source media server that allows you to organize and stream your personal media collection to any device. It supports a wide range of media formats and offers a customized user experience. With Jellyfin, you can easily manage your media library and enjoy your favorite movies and songs anywhere, anytime.

Oracle 9 with Jellyfin – Streaming Media Server: Jellyfin is an open platform media player that allows you to store and organize your media content and stream it to different devices without interruptions. It offers secured access to your content, a user-friendly interface, media organization, and parental controls. 

Owncast: Owncast is a self-hosted live streaming server software with customizable branding, stable streaming performance, and integrated chat functionality. Check installation at http://your_server_ip:8080/admin and run “cat /opt/credentials.txt” for credentials. 

Panik Button Cyber Resilience Platform: Panik Button is a crisis communication platform that ensures NIS2 crisis communication compliance and business continuity within one hour. It prepares organizations for unexpected cyber threats and allows for quick and efficient response. The system is patent-protected, independent from infrastructure, and scalable to meet needs. It also offers effortless collaboration, high user adoption rates, and access to essential SaaS applications. 

phpMyAdmin:  phpMyAdmin is an open-source tool for managing MySQL databases through a web-based interface. Features include executing SQL queries, importing/exporting databases, and managing users/permissions. Access credentials are stored securely in the /var/www/ directory. 

Plex Media Server: Plex Media Server is a media management and streaming platform that centralizes and organizes your media collection. Accessible from any device, it automatically fetches metadata and offers customizable libraries and playlists. 

Polyglot v16.7 on Ubuntu v20: Polyglot is a language detection tool that enables developers to identify and process multiple programming languages within a single codebase. Its advanced algorithms accurately recognize a wide range of programming languages, streamlining the development process and enhancing code quality. Polyglot fosters better collaboration among team members who may have expertise in different programming languages, promoting a more inclusive and effective development environment.

Powell Intranet: Powell Intranet transforms legacy SharePoint intranets for communication and digital workplace managers, with targeted and multi-lingual content, advanced search, and mobile app for frontline workers. It offers highly customizable branding and granular navigation, and low-code back office for site collections templates. Microsoft 365 and SharePoint administrators can manage thousands of site collections with consistency and security. 

ProcessWire on Debian:  ProcessWire is a versatile open-source CMS and framework with a user-friendly interface, customization options, and a robust API. It provides a powerful toolkit for creating websites and web applications tailored to specific needs, emphasizing flexibility and extensibility. 

Pytest v8.3.3 on Ubuntu v20: Pytest is a popular testing framework for Python that simplifies the process of writing, organizing, and running tests. It supports simple unit testing as well as more complex functional, integration, and acceptance testing. Pytest’s standout features include auto-discovery, detailed assertion introspection, and a fixture system for setting up complex test environments. For larger projects or teams, Pytest offers robust support for test discovery in packages, custom plugins, and integration with continuous integration (CI) systems.

RainLoop: RainLoop is a free, open-source web-based email client with a clean, responsive design, SSL/TLS encryption, and customization options. It integrates with multiple email providers and external authentication services.

Redis: Redis is an open-source, in-memory data store used as a database, cache, and message broker, known for its high performance, scalability, and versatility. Redis supports various data structures, data persistence, and master-slave replication for data availability and reliability. 

Rust: Rust is a safe, performant, and concurrent systems programming language with modern syntax and powerful concurrency primitives. It ensures memory safety and delivers performance comparable to low-level languages like C and C++.

SAP Analytics Cloud Purview Connector (Accelerator): SAP Analytics Cloud (SAC) connector extracts metadata and ingests it into Microsoft Purview to generate data glossaries, linages, and classifications.

Scrapy v2.11.2 on Ubuntu v20: Scrapy is a Python-based web crawling and scraping framework that allows developers to extract structured data from websites. It uses a spider-based architecture and supports asynchronous networking for faster data extraction. Scrapy has a rich ecosystem of middleware and extensions, making it highly versatile for a wide range of applications. 

SQLite Server: SQLite is a lightweight and self-contained SQL database engine, ideal for mobile and embedded applications. It requires no server setup or configuration and provides strong data integrity features.

Subsalt Query Engine for Regulated Data: Subsalt’s Query Engine automates privacy compliance for regulated enterprise data using generative models and third-party privacy audits. It provides synthetic data with legally meaningful privacy guarantees, reducing time to data from weeks to hours and improving security posture against insider threats. 

SUSE Linux Enterprise (SLE) Micro 6.0 (EMEA): SLE Micro combines SUSE Linux Enterprise’s reliable technology with modern developer needs for a secure, easy-to-use, and compliant OS platform. The result is an ultra-reliable infrastructure platform that simplifies operations.

SUSE Linux Enterprise (SLE) Micro 6.0 for ARM64 (EMEA): SLE Micro combines SUSE Linux Enterprise’s reliable technology with modern developer needs for a secure, easy-to-use, and compliant OS platform. The result is an ultra-reliable infrastructure platform that simplifies operations.

Swift: Swift is a powerful and intuitive programming language developed by Apple for building applications across its ecosystem, combining performance and efficiency with simplicity and expressiveness. Swift is designed with safety and performance in mind, seamlessly interoperates with existing Objective-C code, and has an open-source community of developers contributing to its evolution.

SymPy and mpmath on Ubuntu v20: SymPy is an open-source Python library for symbolic mathematics, while mpmath is a companion library for arbitrary-precision arithmetic. Together, they form a powerful mathematical computing framework in Python, catering to a broad spectrum of mathematical and engineering applications. This combination makes them invaluable for researchers, educators, and developers who require reliable mathematical tools for analysis, simulation, and problem-solving.

Synack’s Azure Cloud Security Testing Bundle: Synack’s Cloud Security Testing Bundle helps secure and accelerate workload migration to the cloud by providing security testing options at each stage of the process. The bundle includes patch verification services and vulnerability monitoring, and can be integrated with Microsoft Sentinel, Azure DevOps, and Microsoft Defender for Cloud.

TCL: TCL is a powerful and flexible scripting language used for rapid prototyping, automation, and integration with C/C++ applications. It is widely adopted in networking, test automation, and embedded systems.TCL is open-source software licensed under the BSD License, widely adopted for reliable use in production environments.

TextPattern: TextPattern is an open-source CMS with flexible templating, extensible plugin architecture, and built-in SEO features. Login details are saved in credentials.txt file. 

Threat Intelligence Management by Alpha Data Powered by Cyware (Base Package): Alpha Data’s Cyware Threat Intel Program offers a subscription to Cyware Intel Exchange, including a threat intel crawler module, visual threat intelligence analysis, premium feeds, and automation rules. It also includes implementation services and remote product support. 

UNCIA LMS (UnciaLeap): UnciaLeap is a loan management application that covers multiple lines of businesses such as retail, home, SME, agri, auto, and supply chain finance lending. It offers various repayment structures for different types of loans, including equated installments for personal loans, cash flow-based repayment structures for agri-finance, moratorium or holiday periods for construction loans, and working capital demand loans for SME customers.

Vault: Vault by HashiCorp is an open-source secrets management platform that securely stores and manages sensitive information with advanced access control features and dynamic secrets functionality. It integrates with various authentication methods for secure access.

vCluster Enterprise: vCluster helps companies reduce Kubernetes costs by using virtual clusters and multi-tenancy. The platform offers advanced features beyond the open-source project, allowing for easy management of virtual clusters.

VRLab Academy Global: VRLab Academy offers a VR and PC-based virtual lab platform for schools and universities with over 240 experiments in physics, chemistry, and biology. It aligns with GCSE, AP, NGSS, and IB curricula, transforming science education with interactive learning tools and a versatile digital environment. 

Vtiger on Debian: Vtiger CRM is a flexible open-source customer relationship management system with customizable modules, sales automation tools, and robust reporting features. Access credentials are stored securely in the /var/www/ directory.

Wagtail on Debian: Wagtail is a free and open-source CMS built on Django with a flexible interface, version control, and customizable templates. Follow instructions to set up a new project. 

WebOrion Protector WAF VM (PAYG): WebOrion Protector is an enterprise-grade web application firewall designed to protect against the OWASP Top 10 Web Application Security Risks. It offers seamless virtual patching for zero-day threats and helps achieve regulatory compliance in numerous standards and regulations. The product comes equipped with specialized rulesets to protect login pages, WordPress sites, and more.

Webpack: Webpack is a powerful open-source module bundler for JavaScript applications, offering code splitting, plugins, and loaders, and built-in development tools. It is highly configurable and modular, allowing developers to customize the build process to suit their specific project requirements. 

WeKan on Debian: WeKan is an open-source kanban board application for task and project management, with customizable features for easy visualization, organization, and collaboration among team members. It integrates with third-party tools and services through plugins and APIs. 

XAMPP: XAMPP is an open-source web server solution stack package that simplifies web application development and testing. It includes Apache, MariaDB, PHP, and Perl, and supports multiple PHP versions.

Zen Cart: Zen Cart is a free, open-source shopping cart software with a user-friendly interface, seamless integration with payment gateways and shipping services, and built-in security features. 

Zoovu AI Product Search and Discovery Platform: Zoovu uses AI to match customers with the right products, making it easier for them to discover, buy, and love products. It collects and analyzes data from customer interactions to create personalized experiences across every channel and region. 

Go further with workshops, proofs of concept, and implementations

AI Design Fast Start: 2-Week Workshop: Insight’s AI Design Fast Start workshop helps organizations overcome challenges in incorporating generative AI, including high development costs, difficulty proving ROI, and data readiness. The workshop includes assessing AI readiness, identifying important use cases, and building a roadmap for business value on Microsoft Azure.

AI-Powered Content Automation: 4-Week Proof of Concept: Publicis Sapient’s AI-Powered Content Automation, powered by Microsoft Azure OpenAI and Azure services, offers an easy-to-use location for creatives to generate and bring new concepts to life. The suite includes generative creative tools for image, video, audio, and text, with customization available.

AI Readiness: 2-Day Workshop: Neway’s AI Readiness workshop helps organizations assess their preparedness for AI adoption, define their AI strategy, and equip their teams with the knowledge and resources needed to embark on successful AI projects. The workshop covers AI types, data governance, security, and compliance requirements, and provides a readiness score to help define next steps.

Azure Kickstarter: 7-Week Migration and Modernization: Macaw offers expert services to help seamlessly migrate and modernize on-premises workloads to Azure. The process includes defining scope, conducting an assessment, designing an Azure foundation workshop, establishing an Azure landing zone, migrating the first workload, and providing ongoing optimization and support. The benefits include an AI-ready infrastructure, faster time to cloud, high productivity environment, secure and scalable infrastructure, enterprise-level technology, and hybrid-friendly app development.

Brillio’s Azure Cloud Deployment Services for EHR: Brillio offers healthcare organizations a suite of consulting services to support electronic health record (EHR) system deployment on Microsoft Azure. Their Cloud Strategy and Adoption Center (CSAC) provides tailored cloud adoption strategies, migration methodologies, and automation-driven quality engineering. Brillio’s end-to-end services focus on scaling cloud capabilities, optimizing security, and providing extensive training and resources to healthcare staff.

Composable Commerce Starter Kit on Azure: The Grid Dynamics Composable Commerce Starter Kit, powered by commercetools and Microsoft Azure, streamlines the transition from legacy monolith tools to modern, modular technology. It follows the cloud-native composable commerce MACH approach and leverages packaged business capabilities from best-in-class commerce vendors and technology from Azure to maximize ROI, enable growth at scale, facilitate agile change, and swiftly compose unforgettable shopping experiences across channels. 

Data Platform Infrastructure Management: Ava Software’s service offers advanced analytics infrastructure management for Microsoft Azure, including design, deployment, and optimization of infrastructure for machine learning, AI, and big data. It also includes security and compliance measures, monitoring, and maintenance. The outcomes include a performance assessment report, security measures implementation, compliance audit report, and optimization roadmap. 

DF Document Extractor Implementation: Cloud4C Services’ DF Document Extractor is an AI-powered document processing solution that uses Microsoft Azure to efficiently analyze and extract information from PDF documents. It is ideal for industries such as legal, healthcare, insurance, and finance, where automation of document processing can significantly reduce manual effort and improve decision-making. 

GitHub Non-developer Training: 2-Day Workshop: InfoMagnus’ workshop teaches non-developer team members how to use GitHub for project management, content creation, and collaboration. Participants will learn core concepts, transparency best practices, and how to use GitHub for documentation and software development workflows. 

Health Catalyst Migration to Microsoft Fabric and Azure: 3-Day Workshop: Health Catalyst’s data and analytics platform has limitations in creating visualizations and scaling for large volumes of data. Microsoft Fabric offers advanced capabilities for improving patient care, and WinWire can assist in migrating from Health Catalyst to Microsoft Fabric and Azure for significant cost and time savings. 

LTIMindtree Infrastructure T-Spin Hop on to the Azure Cloud: LTIM’s framework helps financial institutions on the Temenos core banking transformation journey to host their new environments on a stable infrastructure platform. Using Azure for hosting services ensures high availability, a secure environment, adherence to local regulations, and optimal infrastructure costs.

Mainframe Modernization Services Driven by Generative AI: Birlasoft’s Mainframe Modernization Framework helps customers assess, strategize, and modernize their mainframe systems to Microsoft Industry Clouds. The framework includes a comprehensive analysis of the mainframe system, solution strategy, target design, implementation roadmap, and modernization phase. 

Microsoft Fabric Analyst in a Day: 1-Day Workshop: Kanerika’s workshop equips data analysts, business intelligence professionals, and technical analysts with the skills to master Microsoft Fabric. The workshop covers unifying and transforming data and building powerful reports with Power BI. The target audience includes data analysts, business intelligence professionals, data engineers, and technical analysts.

Microsoft Fabric Implementation: 4-Week Proof of Concept: Noventiq’s engagement includes comprehensive training, assessment, custom platform architecture, proof of concept, seamless integration plan, and scalability guidance. Deliverables include a fully configured Microsoft Fabric environment, real-world use case implementations, Power BI dashboards, integration documentation, and training.

Microsoft Fabric Proof of Value: 6-Week Implementation: Accion Labs collaborates with customers to use Microsoft Fabric for data analytics. Their services include building a unified data lakehouse, scalable data processing and analytics, real-time data streaming and processing, data pipelines, advanced analytics and machine learning, secure and compliant data processing, seamless integration with Azure ecosystem, and flexible and customizable solutions.

Migrating Datacenter Environments to Azure: Migrating to Azure offers benefits such as reduced operational costs, flexibility, scalability, mobility, and agility. SGA Tecnologia Inteligente’s migration process includes five stages: scope of services, initial assessment, migration planning, execution, and stabilization. Benefits include cost reduction, flexibility, scalability, mobility, and agility.

Spark for Azure Virtual Desktop Proof of Concept: eir evo’s service offers customized architecture design and deployment for Azure Virtual Desktop, followed by functional and user acceptance testing to ensure seamless integration with existing systems. Any issues identified during testing are resolved through remediation, resulting in a production-ready solution. 

synvert MLOps Framework: : Data Insights’ MLOps platform combines software engineering and machine learning best practices to deploy ML models in production. It offers a CI/CD framework covering all aspects of the ML model lifecycle, including advanced monitoring and AutoML. The solution is reusable, modular, and scalable, with quick onboarding and maintenance services.

Transform Your Data Platform with Microsoft Fabric: 2-Hour Envisioning Workshop: Microsoft Fabric is a data management and analytics platform designed to address challenges faced by businesses today. Noventiq offers an envisioning workshop to help organizations achieve their data modernization goals. Noventiq’s team of certified specialists can seamlessly integrate Fabric into existing data infrastructure while laying a scalable foundation for future data initiatives.

Windows Server Hybrid Implementation: The Windows Server Hybrid environment, enhanced by Microsoft Azure technologies, seamlessly integrates on-premises servers with cloud-based services. Implemented by Covenant Technology Partners, this integration promotes a more seamless, scalable, and unified hybrid infrastructure management experience, with advanced management capabilities for efficient governance and oversight of resources across on-premises and various cloud environments.

Xoriant VMware Migration with Matilda Cloud: 8-Week implementation: Matilda Cloud’s Migrate service offers an automated migration solution to transition VMware workloads to Azure. It simplifies the migration process, reduces downtime, and ensures optimal performance. The service includes authentication, configuration, replication, testing, and cutover stages, with features such as accelerated migrations, landing zone creation, and policy compliance. The service also provides enhanced security with encryption in transit and at rest.

Xoriant VMware Workload Assessment with Matilda Cloud: 4-Week Assessment: Matilda Cloud offers professional assessment services to help organizations transition from VMware to Azure. Their state-of-the-art platform provides detailed analysis of existing workloads and infrastructure, optimizing resource allocation and strategic planning for cost savings. The structured, phased methodology ensures minimal disruption and maximizes confidence at every stage of the migration process. 

Contact our partners

ACI Real Time Payments Cloud

Adminer on Debian

Adroll to Power BI

AppNexus to Power BI

Automated Invoice Processing

Invoice Automation

Autonomize AI Chart Review Copilot

Autonomize AI Prior Authorization Copilot

Autonomize Care Gaps Copilot

Azure CycleCloud Workspace for Slurm

BI Service

Blendata Enterprise

Azure Security: 1-Day Brieffing

Chatbot with Artificial Intelligence for WhatsApp

Chevereto

Cloud Genera Billing Showback and Forecast

Cloud Migration Factory

Co-Managed SOC for Microsoft Sentinel

Cockpit

Predictive Monitoring Solution

Criteo to Power BI

Custom Development

CX Insights

Devart ODBC Driver for Zoho Inventory

Devart ODBC Driver for Zoho Invoice

Devart ODBC Driver for Zoho People

Dragonboat

DREX – AI Powered Metadata Extraction

DXC’s Nucleus Infrastructure as Code Asset Library

EAS (Enterprise Analytics Suite)

ePlus Azure Recover DRaaS

FactoryTalk DataMosaix Private Cloud

FedRAMP Insights

FlatPress

Formosa GPT

GitLab

Google Display & Video 360 (DV360) to Power BI

Google Search Ads 360 to Power BI

GoTo Resolve

GPN6 – The BPM That Integrates Access Through a Valid eIDAS2 Wallet

Hydra Framework

Hydra Cognitive Services

Integrate Any E-commerce Software to Microsoft Dynamics 365

Integrate Any ERP Software to Azure Cosmos DB

Item Configurator: Configuration Processor

ListSync – Contact ThorApps

Managed Services for Teams Phone

Modern Cloud Applications for Your Business

MyWebSQL

NdCount People Counting Solution

PMXChain

Portfolio Xeleron

Project Integration Engine (PIE)

ProjectSync

Rainbowtec Access Control Software

Retail & Supply Chain Intelligence Suite

RethinkDB

Silverfort for Microsoft Sentinel

SKUworld Customer Analytics

SKUworld Online Design Center

SKUworld Product Information Management (PIM) & Distribution Portal

Snapchat to Power BI

Spark Framework for Azure Virtual Desktop Technical Discovery

Stibo Systems Solution Review

Stripe to Power BI

SurveyConnect Feedback Assessments and Surveys

SUSE Manager Proxy 5.0 – BYOS

SUSE Manager Proxy 5.0 – BYOS arm64

SUSE Manager Server 5.0 – BYOS

SUSE Manager Server 5.0 – BYOS arm64

Taboola to Power BI

Task Tracking Solution

The Trade Desk to Power BI

Trustwave Managed SIEM for Microsoft Sentinel

Trustwave MXDR for Microsoft Defender XDR and Microsoft Sentinel

Upgrade Inplace for Windows Server en Azure: Evaluación/Análisis de 1-2 semanas de Ejecución .

vMaxOEE

Webmin

WGS RUD Oxford Nanopore Technology Maxi

WorkDone Corporate Memory

xMentium Language Intelligence for Investor Relations

Xtravirt: Veeam Data Cloud: Backup and Recovery for Microsoft Azure

Yarado RPA

Zabbix

Zscaler Internet Access (ZIA) with SysGroup

Zscaler Private Access (ZPA) with SysGroup

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Check out Microsoft 365 Copilot Wave Two updates, featuring Business Chat and the new Copilot Pages for enhanced collaboration, advancements in Excel data analysis, AI-driven file comparisons in OneDrive, and easy-to-create Copilot agents for automating business processes. If you are in IT, we’ll show you improved integrations with our security and compliance stack.

Mary Pasch, Principal Product Manager, joins Jeremy Chapman to walk through the updates, including what it means for Microsoft 365 admins.

Boost productivity in Excel with Microsoft 365 Copilot.

Use natural language prompts to analyze complex data, generate formulas, and create insights effortlessly. Watch here.

Compare Word and PDF files.

Identify differences in seconds, and streamline your editing process — eliminating manual side-by-side reviews. Save time with Microsoft 365 Copilot in OneDrive.

Create Copilot agents in SharePoint with just a few clicks.

Focus agents on specific files or folders to generate relevant content and responses, and share them in Microsoft Teams for seamless collaboration. Get started.

Watch our video here: 

​Microsoft Tech Community – Latest Blogs –Read More 

I received a new Surface laptop and it came with what looks like a docking station attached to the bottom.  I am strggling to figure out how to detach it.  Any tips would be appreciated.  It is convenient but it takes away from the overall Thin profile that I bought it for.  Does any one even know what it is called or has seen it before?  I cannot seem to find anything on line.

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​I received a new Surface laptop and it came with what looks like a docking station attached to the bottom.  I am strggling to figure out how to detach it.  Any tips would be appreciated.  It is convenient but it takes away from the overall Thin profile that I bought it for.  Does any one even know what it is called or has seen it before?  I cannot seem to find anything on line.sidebottomother side  Read More

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I am using a power query at work that someone created before me. I paste the data I want to analyze into a tab within the worksheet and select the refresh button. The data I pasted today has 552 rows. When I look at the queries and connections it is only using 489 of these rows. How do I change the range it is pulling from?

​I am using a power query at work that someone created before me. I paste the data I want to analyze into a tab within the worksheet and select the refresh button. The data I pasted today has 552 rows. When I look at the queries and connections it is only using 489 of these rows. How do I change the range it is pulling from?  Read More

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