Copilot answers in Sharepoint search results?
I would really like to add a copilot AI answer in the Sharepoint search result page, mainly for the intranet hub, to help our users better find answers across the intranet and also make the search bar a more complete search experience. Something we could toggle on and maybe we could point out a specific agent we've created for the intranet. I feel people are quickly starting to expect to have an AI summary in their search. Would also make sense when so many use the search bar i Sharepoint to incorporate it there, instead of having to go to a different place to use Copilot. It would make search easier.
AI- based Post Sorting
I have developed a Post and Comment module inside SPFx. where i have 3 sharepoint list:- Posts Comments Reaction here is the SPFX, with 2 posts and the first post has 2 comments:- Currently the Posts and their Comments will be shown sorted by the created date , here is the method to show the posts:- async getPostsPage(pageSize: number = 10, afterId?: number) { let url = `${this.siteUrl}/_api/web/lists/getByTitle('SocialPosts')/items` + `?$select=Id,Title,Body,Created,Author/Id,Author/Title,LikeCount,CommentCount` + `&$expand=Author&$orderby=Id desc&$top=${pageSize}`; if (afterId) url += `&$filter=Id lt ${afterId}`; const data = await this.getJson<{ value: any[] }>(url); return data.value.map(v => ({ Id: v.Id, Title: v.Title, Body: v.Body, Created: v.Created, AuthorId: v.Author?.Id, AuthorTitle: v.Author?.Title, LikeCount: v.LikeCount || 0, CommentCount: v.CommentCount || 0 })) as import('../Models/Models').Post[]; } and the comments:- // ---------- Comments ---------- async getComments(postId: number): Promise<Comment[]> { const url = this.commentsUrl() + `?$select=Id,Body,Created,Author/Id,Author/Title,LikeCount,Post/Id,PostId` + `&$expand=Author,Post&$filter=PostId eq ${postId}&$orderby=Created asc`; const data = await this.getJson<{ value: any[] }>(url); return data.value.map((v) => ({ Id: v.Id, Body: v.Body, Created: v.Created, AuthorId: v.Author?.Id, AuthorTitle: v.Author?.Title, LikeCount: v.LikeCount || 0, PostId: v.PostId ?? v.Post?.Id, })); } but the client is asking us if there is a way to order the items using AI algorithm so it show the most relevant posts and comments first? which approach i can follow? to allow order items inside SPFx using AI algorithm instead of Created date?? any advice?New blog: Do We Really Need to Buy More SharePoint Storage?
I’ve published a new blog post exploring a common question: Do we really need to buy more SharePoint storage? In this article, I cover: How SharePoint storage is calculated What counts towards your storage quota Practical strategies to optimise storage before purchasing more When it actually makes sense to buy additional storage 📖 Read the full post here: Do You Really Need More SharePoint Storage? | Optimisation Guide If you’re managing SharePoint Online or Microsoft 365 storage, this guide will help you make informed decisions and avoid unnecessary costs.SharePoint Knowledge Agent ExcludeSelectedSites max 100 urls
Hi All, just an FYI post about a Knowledge Agent preview powershell limitation. As a long time Digital Workplace specialist I've just tried out the Knowledge agent powershell (reference) , to try and test it on 2 of the 444 sites I have in my tenant, but I couldn't. The ExcludeSelectedSites setting for KnowledgeAgentScope has a limit of 100 urls in the KnowledgeAgentSelectedSitesList array. I found this out by running the following commands, where I had 442 urls in the $urlsToKeepKMagentTurnedOff array. Set-SPOTenant -KnowledgeAgentScope ExcludeSelectedSites Set-SPOTenant -KnowledgeAgentSelectedSitesList $urlsToKeepKMagentTurnedOff I know it is preview but unless we can test this out on real sites, prior to TURNING it on for every site we need to be able to test and trial it to build up our understanding so we can help our site / teams owners.
Microsoft Syntex: Turning Your Documents Into Digital Intelligence
In today’s workplaces, organizations generate an overwhelming amount of content—contracts, invoices, reports, emails, and more. Manually managing, classifying, and extracting insights from this information is not only time-consuming but also prone to errors. Microsoft Syntex, an AI-powered service within Microsoft 365, transforms the way businesses handle content. By automatically classifying files, extracting metadata, applying compliance policies, and even generating new documents from templates, Syntex brings automation and intelligence directly into familiar tools like SharePoint, OneDrive, and Teams. This blog explores how Microsoft Syntex helps organizations boost productivity, reduce operational costs, and unlock the true value of their content.Using Copilot (GPT-5) to turn schema into SQL and write queries
This article shows a few ways you can use Copilot to help with Microsoft Graph Data Connect for SharePoint. This includes turning a schema into a SQL CREATE TABLE statement and summarizing data from that. Make sure to use the Copilot option to use GPT-5 for best results. Scenario 1 This first scenario just builds a CREATE TABLE statement from the dataset schema definition in markdown notation. I provide a few instructions on how to handle the flattening of the objects. Me: Given the schema at this URL: https://github.com/microsoftgraph/dataconnect-solutions/blob/main/Datasets/data-connect-dataset-sharepointsites.md, give me a CREATE TABLE statement for a SQL Server. Just include the single SQL command in the output. Each column should have a comment with a short description. Don't include any information about keys or constraints. This dataset is flattened. One column in the table for every row, except those of type object. Column names to be flattened with a prefix. Use an underline to separate the prefix. Copilot: CREATE TABLE SharePointSites ( ptenant NVARCHAR(255) -- Id of the tenant ,Id NVARCHAR(255) -- GUID of the site ,Url NVARCHAR(2048) -- URL for the site ,ArchiveState NVARCHAR(50) -- Archive state of the site: None, Archiving, Archived, or Reactivating ,SiteArchivedBy NVARCHAR(255) -- Who archived the site, null if not archived ,SiteArchivedTime DATETIME -- When the site was archived, null if not archived ,RootWeb_Id NVARCHAR(255) -- Root web id ,RootWeb_Title NVARCHAR(512) -- Root web title ,RootWeb_WebTemplate NVARCHAR(255) -- Root web template name ,RootWeb_WebTemplateId INT -- Root web template id ,RootWeb_Configuration INT -- Root web template configuration id ,RootWeb_LastItemModifiedDate DATETIME -- Date when an item in the root web was last modified ,WebCount BIGINT -- Number of webs (subsites) in the site ,StorageQuota BIGINT -- Total storage in bytes allowed for this site ,StorageUsed BIGINT -- Total storage in bytes used by this site ,StorageMetrics_MetadataSize BIGINT -- Total metadata size for the site in bytes ,StorageMetrics_TotalFileCount BIGINT -- Total number of files for the site ,StorageMetrics_TotalFileStreamSize BIGINT -- Total size of latest version of files in bytes ,StorageMetrics_AdditionalFileStreamSize BIGINT -- Total size of additional file streams in bytes ,StorageMetrics_TotalSize BIGINT -- Total size of all files for the site in bytes ,GroupId NVARCHAR(255) -- Id of the group associated with this site ,GeoLocation NVARCHAR(50) -- Geographic region where the data is stored ,IsInRecycleBin BIT -- Indicates if the site is in the recycle bin ,RecycleBinItemCount BIGINT -- Number of items in the recycle bin ,RecycleBinItemSize BIGINT -- Size of items in the recycle bin ,SecondStageRecycleBinStorageUsage BIGINT -- Size of items in the second stage recycle bin ,IsTeamsConnectedSite BIT -- Indicates if the site is connected to Teams ,IsTeamsChannelSite BIT -- Indicates if the site is a channel site ,TeamsChannelType NVARCHAR(50) -- Type of channel if site is a Teams channel site ,IsHubSite BIT -- Indicates if the site is associated with a hub site ,HubSiteId NVARCHAR(255) -- Id of the hub site for this site ,IsCommunicationSite BIT -- Indicates if the site is a communication site ,IsOneDrive BIT -- Indicates if the site is a OneDrive ,BlockAccessFromUnmanagedDevices BIT -- Site blocks access from unmanaged devices ,BlockDownloadOfAllFilesOnUnmanagedDevices BIT -- Site blocks download of all files from unmanaged devices ,BlockDownloadOfViewableFilesOnUnmanagedDevices BIT -- Site blocks download of viewable files from unmanaged devices ,ShareByEmailEnabled BIT -- Site enables share by e-mail ,ShareByLinkEnabled BIT -- Site enables share by link ,IsExternalSharingEnabled BIT -- Indicates if external sharing is enabled ,SiteConnectedToPrivateGroup BIT -- Indicates if site is connected to a Private Group ,Privacy NVARCHAR(50) -- Privacy of the site: Private or Public ,SensitivityLabelInfo_Id NVARCHAR(255) -- Id of the Sensitivity Label for the site ,SensitivityLabelInfo_DisplayName NVARCHAR(255) -- Display name of the Sensitivity Label for the site ,Classification NVARCHAR(255) -- Classification of the site ,IBMode NVARCHAR(50) -- Information Barriers Mode ,IBSegments NVARCHAR(MAX) -- List of organization segments if IB mode is Explicit ,Owner_AadObjectId NVARCHAR(255) -- AAD Object Id of the owner ,Owner_Email NVARCHAR(320) -- Email of the owner ,Owner_UPN NVARCHAR(320) -- User Principal Name of the owner ,Owner_Name NVARCHAR(255) -- Name of the owner ,SecondaryContact_AadObjectId NVARCHAR(255) -- AAD Object Id of the secondary contact ,SecondaryContact_Email NVARCHAR(320) -- Email of the secondary contact ,SecondaryContact_UPN NVARCHAR(320) -- User Principal Name of the secondary contact ,SecondaryContact_Name NVARCHAR(255) -- Name of the secondary contact ,ReadLocked BIT -- Whether the site is locked for read access ,ReadOnly BIT -- Whether the site is in read-only mode ,CreatedTime DATETIME -- When the site was created (UTC) ,LastSecurityModifiedDate DATETIME -- When security on the site was last changed (UTC) ,LastUserAccessDate DATETIME -- Last access by a real user (UTC) ,LastContentChange DATETIME -- When the site contents were last changed (UTC) ,SnapshotDate DATETIME -- When this site information was captured (UTC) ,Operation NVARCHAR(50) -- Extraction mode of this row ); Scenario 2 Now I use the CREATE TABLE as the base to ask for a SELECT statement. Me: Give me a list of sites that have more than 5GB of files. Give me a single SQL statement using the tables described below. <create table statements included here> Copilot: SELECT Id AS SiteId, Url AS SiteUrl, RootWeb_Title AS SiteTitle, StorageMetrics_TotalSize AS TotalSizeInBytes, CAST(StorageMetrics_TotalSize / (1024.0 * 1024 * 1024) AS DECIMAL(10,2)) AS TotalSizeInGB FROM SharePointSites WHERE StorageMetrics_TotalSize > (5 * 1024 * 1024 * 1024) ORDER BY StorageMetrics_TotalSize DESC; Note: Interesting choice of columns and order, without any specific prompting to that effect. Scenario 3 Now for a more challenging scenario using two tables and a more complex requirement. Me: Given the tables below, write a SELECT statement to give me a list of sites with the name of the site, the total storage size and the top 3 file extensions by size. <create table statements for Sites and Files included here> Copilot: WITH ExtensionTotals AS ( SELECT f.SiteId, f.Extension, SUM(f.SizeInBytes) AS TotalSize FROM SharePointFiles f WHERE f.Extension IS NOT NULL GROUP BY f.SiteId, f.Extension ), RankedExtensions AS ( SELECT et.SiteId, et.Extension, et.TotalSize, ROW_NUMBER() OVER (PARTITION BY et.SiteId ORDER BY et.TotalSize DESC) AS rn FROM ExtensionTotals et ), TopExtensions AS ( SELECT SiteId, STRING_AGG(Extension + ' (' + CAST(TotalSize AS VARCHAR(20)) + ')', ', ') WITHIN GROUP (ORDER BY TotalSize DESC) AS Top3Extensions FROM RankedExtensions WHERE rn <= 3 GROUP BY SiteId ) SELECT s.RootWeb_Title AS SiteName, s.StorageMetrics_TotalSize AS TotalStorageSize, te.Top3Extensions FROM SharePointSites s LEFT JOIN TopExtensions te ON s.Id = te.SiteId ORDER BY s.StorageMetrics_TotalSize DESC; Notes: Scenario is nicely handled, using both the Files and Sites tables. Complex aggregation is coded correctly. Scenario 4 In this one, I skip the step of using a SQL CREATE TABLE statement and go directly from the markdown for the two schemas (Sites and Files) to a SQL SELECT statement. I also let GPT-5 add his comments and notes this time, to make sure it's thinking correctly... Me: Consider a SQL table for SharePoint Sites based on the schema at https://github.com/microsoftgraph/dataconnect-solutions/blob/main/Datasets/data-connect-dataset-sharepointsites.md - This dataset is flattened. There is one column in the SQL table for every row, except those of type object. Column names are flattened with a prefix. Column names use an underline to separate the prefix. Also consider a SQL table for SharePoint Files based on the schema at https://github.com/microsoftgraph/dataconnect-solutions/blob/main/Datasets/data-connect-dataset-sharepointfiles.md - Use the same assumptions as the previous one. Now write a SELECT statement to give me a list of sites with the name of the site, the total storage size and the top 3 file extensions by size. Copilot: Got it — you want to join the flattened SharePoint Sites table with the flattened SharePoint Files table, aggregate storage usage, and then find the top 3 file extensions by size for each site. Here’s a SQL example that works with the flattened column naming convention you described: WITH FileSizeByExtension AS ( SELECT f.SiteId, f.Extension, SUM(f.SizeInBytes) AS TotalExtensionSize FROM SharePointFiles f GROUP BY f.SiteId, f.Extension ), RankedExtensions AS ( SELECT SiteId, Extension, TotalExtensionSize, ROW_NUMBER() OVER (PARTITION BY SiteId ORDER BY TotalExtensionSize DESC) AS rn FROM FileSizeByExtension ), Top3Extensions AS ( SELECT SiteId, STRING_AGG(Extension, ', ' ORDER BY TotalExtensionSize DESC) AS TopExtensions FROM RankedExtensions WHERE rn <= 3 GROUP BY SiteId ) SELECT s.RootWeb_Title AS SiteName, s.StorageMetrics_TotalSize AS TotalStorageBytes, t.TopExtensions FROM SharePointSites s LEFT JOIN Top3Extensions t ON s.Id = t.SiteId ORDER BY s.StorageMetrics_TotalSize DESC; How it works FileSizeByExtension: Groups files by SiteId and Extension to sum their sizes. RankedExtensions: Uses ROW_NUMBER() to rank extensions by size within each site. Top3Extensions: Filters to the top 3 per site and concatenates them into a comma-separated list. Final SELECT: Joins back to the Sites table to get the site name and total storage size. Notes RootWeb_Title comes from flattening the RootWeb object in the Sites dataset. StorageMetrics_TotalSize is the flattened column for total site storage (excluding recycle bin). STRING_AGG works in SQL Server 2017+, Azure SQL, and some other RDBMS. If your SQL dialect doesn’t support it, you’d need a different aggregation method. This query orders sites by total storage size so the largest sites appear first. Note: Nicely done in one prompt with the proper explanations. Conclusion I hope these examples help you see the potential of getting Copilot's help with your queries. This is one more reason to load your MGDC for SharePoint tables directly into Microsoft Fabric, where you can run SQL queries against tables in the OneLake...
InfoPath Unable to Submit the Data
Hi Team I have the InfoPath form which is connected with SharePoint list in the list i have added the new column and also i have added the new textbox in the InfoPath designer but while submitting the data the column value is not storing to the DataSource. The DataSource is giving the Main in the InfoPath designer. Can you anyone give me the solution Please find the Images. Newly Added the Column which is Sample Data. Can any one suggest me the solution Please Thank You, SaiKrishna.
