context
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Microsoft Teams logocommunication

Context + Microsoft Teams

Extract knowledge from channels, meetings, and conversations across your entire organization

Microsoft Teams is the communication hub for Microsoft-centric enterprises -- conversations, meetings, and file sharing all converge in channels and chats. But critical knowledge gets buried in channel threads that nobody can find, meeting decisions that are never documented, and shared files that lose their conversational context. Context connects to your Teams environment and extracts the knowledge embedded in channel messages, meeting transcripts, and chat conversations. When an engineer asks "what did the architecture review board decide about the microservices migration?", Context surfaces the Teams meeting transcript, the follow-up channel discussion, the SharePoint document that captured the decision, and the Jira epic that tracks implementation. Every message, meeting, and shared file becomes a node in your knowledge graph, connected to related knowledge across SharePoint, Slack, Jira, and every other tool your organization uses. Because Context deploys on your infrastructure, Teams data never leaves your network. Meeting transcripts, private chats, and sensitive channel discussions are processed locally with full compliance and data residency controls.

Key Capabilities

  • 01Channel message indexing -- capture knowledge from team channels including threaded replies, reactions, and @mentions with full conversation context preserved
  • 02Meeting transcript knowledge extraction -- index Teams meeting transcripts and recordings to extract decisions, action items, and discussion topics with speaker attribution
  • 03Shared file context preservation -- connect files shared in Teams to the conversations and meetings that reference them, maintaining the full context of why a document was shared
  • 04Teams and SharePoint unified knowledge graph -- automatically link Teams conversations to their associated SharePoint sites, document libraries, and OneNote notebooks
  • 05Cross-team channel discovery -- surface relevant conversations from other teams and departments that discuss similar topics, breaking down organizational silos
  • 06Chat and group conversation indexing -- extract knowledge from 1:1 and group chats where critical decisions often happen outside formal channels

Use Cases

Meeting Decision Recovery

A project manager needs to recall what was decided in last week's architecture review. Context finds the Teams meeting transcript where the team debated three approaches, extracts the decision point where the lead architect recommended option B, surfaces the follow-up channel messages where engineers raised implementation concerns, and links to the SharePoint document where the ADR was formalized. Instead of rewatching a 90-minute recording or asking colleagues, the PM gets the complete decision trail in seconds.

Cross-Department Collaboration Discovery

An ML engineering team is building a recommendation engine and needs domain expertise about customer segmentation. Context discovers that the marketing analytics team has been discussing similar customer clustering approaches in their Teams channel, that a data science team in the London office shared a relevant research paper in their channel last month, and that the product team's SharePoint site contains customer journey maps. Teams knowledge connects to knowledge from across the organization, enabling serendipitous collaboration.

New Employee Knowledge Onboarding

A new hire joins a project team that has been collaborating in Teams for 18 months. Context provides a knowledge summary of the team's channel: the key decisions made, the recurring discussion topics, the subject-matter experts for each area, and the most-referenced shared documents. Instead of scrolling through thousands of messages or relying on incomplete documentation, the new team member understands the project's history and context from day one.

Compliance and Audit Trail

A compliance officer needs to demonstrate that a specific regulatory change was communicated and acknowledged across the organization. Context traces the lifecycle of the regulation: the legal team's Teams channel where it was first discussed, the all-hands meeting transcript where leadership addressed it, the department channels where managers shared implementation guidance, and the SharePoint policy documents that were updated. The complete audit trail across Teams and SharePoint is surfaced with timestamps and attribution.

How It Works

SOURCEMicrosoft TeamsSharePointSlackSalesforcePROCESSINGContext EnginePROCESSINGKnowledge GraphOUTPUTAnswers

Security & Compliance

SOC 2 Type IISOC 2 Type IIGDPRGDPRHIPAAHIPAAISO 27001ISO 27001

Deployment Options

DEPLOYMENT ARCHITECTURE

YOUR INFRASTRUCTUREOn-PremiseK3s / K8s / Bare MetalAPI ServerKnowledge GraphLLM (Ollama)PostgreSQLYour VPCAWS / Azure / GCPEKS ClusterKnowledge GraphKubeAI (GPU)S3 / BlobKARPENTER: GPU SCALE-TO-ZEROAir-GappedNo Internet RequiredAPI ServerKnowledge GraphOllama / MLXLocal StorageYOUR DATA NEVER LEAVES YOUR INFRASTRUCTURE

Frequently Asked Questions

How does Context handle the relationship between Teams and SharePoint?

Every Microsoft Teams team has an associated SharePoint site where files shared in channels are stored. Context understands this relationship and automatically creates knowledge graph connections between Teams conversations and their associated SharePoint content. When you search for a topic, you see both the Teams discussion and the related SharePoint documents in a single unified view. This is particularly powerful for meeting recordings and notes that live in SharePoint but are referenced from Teams.

Does Context index meeting transcripts and recordings?

Yes, when meeting transcripts are available. Microsoft Teams Premium and compliance recording solutions generate meeting transcripts that Context can index. Context extracts speaker-attributed text, identifies decision points and action items, and connects the transcript to the meeting's channel conversation and any shared files. For organizations without transcript availability, Context still indexes meeting metadata, chat messages during the meeting, and any follow-up channel discussions.

Can Context be deployed on-premise with Microsoft Teams?

Yes. Context deploys entirely on your infrastructure using Helm. While Microsoft Teams itself is a cloud service (part of Microsoft 365), Context processes all data locally. Teams data is fetched via the Microsoft Graph API and indexed on your servers. No data is sent to any third-party cloud. For organizations with strict data residency requirements, Context ensures that all processing and storage happens within your controlled environment.

How does Context handle Teams permissions and private channels?

Context enforces Teams access controls on every search query. Users only see knowledge from teams, channels, and chats they are members of. Private channels are indexed separately with their own permission boundaries. Shared channels across organizations are supported with appropriate cross-tenant permissions. Permission sync is continuous, so when users are added to or removed from a team, their Context search results update accordingly.

What happens with messages in 1:1 and group chats?

Context can index 1:1 and group chat messages with appropriate permissions (Chat.Read.All). This is particularly valuable because critical decisions and knowledge sharing often happen in informal chats rather than formal channels. Chat indexing is optional and can be scoped to specific users or groups based on your compliance requirements. All chat content is subject to the same permission enforcement -- users only see their own chats in search results.

How does Context handle large organizations with thousands of teams?

Context discovers teams and channels automatically through the Microsoft Graph API and processes them in parallel. For very large organizations, you can configure inclusion or exclusion rules based on team names, departments, or custom tags. The incremental sync using Graph change notifications is highly efficient regardless of organization size, as it only processes new and modified messages. Organizations with over 100,000 active users typically complete initial indexing within 24 hours.

Setup Overview

Install the Context Microsoft Teams connector using Helm. Register an Azure AD application with ChannelMessage.Read.All, Chat.Read.All, and OnlineMeetingTranscript.Read.All permissions (adjust based on your scope). Grant admin consent in your Microsoft 365 tenant. Configure which teams and channels to index, or allow Context to discover all teams automatically. Context will perform an initial backfill and then listen for real-time change notifications. Most organizations complete initial indexing within a few hours depending on message volume.

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