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Documentation Index

Fetch the complete documentation index at: https://docs.qontext.ai/llms.txt

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Overview

Your context repository is the structured knowledge base Qontext builds for your workspace. It contains all ingested company context organized as .md files in a folder structure grouping, for example, teams, deals, projects, and more. There is one context repository per workspace that grows and updates automatically whenever something changes in your connected data sources.

What a context repository looks like

The context repository is organized into folders by entity type. Each entity gets its own .md file containing structured facts, relationships, and metadata extracted from your connected sources. Example structure:
workspace
Customers
Customer_closed
brightline-solutions.md
clearwater-logistics.md
Customer_leads
redstone-capital.md
Customer_lost
foxwood-media.md
Employees
amara-diallo.md
jonas-becker.md
Products
digital-transformation-advisory.md
managed-operations.md
Projects
crm-migration-salesforce.md
emea-market-expansion.md
When your repository is first created, Qontext proposes a folder structure based on your connected data. You can review and adjust it before it’s finalized. The structure isn’t locked in: you can adapt it manually at any time, and it continues to evolve automatically as more data is synced.

Why a context repository matters

  • Relationship-aware context: Retrieves connected entities, not just isolated snippets.
  • Adaptive company memory: Updates continuously as facts change.
  • Semantic meaning preserved: Captures relationships across your tools, not just surface-level matches.
  • Unified access layer: Use the same structured context across all tools, APIs, and workflows.

FAQ

It depends on data volume. Small workspaces typically complete in minutes; large ones with many sources can take longer.
Yes. You can browse and edit any file in the context repository from the Qontext app. See Context Management for details.