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Welcome to Qontext

Qontext is your unified context layer. It transforms scattered company data into AI-ready context. By connecting to the tools your company already uses, Qontext organizes information into Context Vaults: living, structured context graphs that your AI workflows can query directly. Instead of reinventing knowledge management, you simply connect, ingest, and retrieve, and your AI always operates with accurate, up-to-date context.

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How Qontext Works

  • Ingest your data: Connect your existing sources like HubSpot, Notion, or Google Drive, or ingest unstructured data (text, JSON, markdown, websites) directly via the API.
  • Automatic structuring: Qontext continuously organizes information into Context Vaults, connecting entities and maintaining relationships as your data changes.
  • Retrieve your context: Query Qontext from any AI workflow, chat interface, or API call to get the precise, connected context your model needs, automatically ranked for relevance.

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Why Qontext Matters

Traditional RAG (retrieval-augmented generation) systems stop at keyword or vector similarity. Qontext goes beyond RAG. It captures the relationships between entities and adapts as your data evolves.
  • Relationship-aware context: Retrieves connected entities, not just isolated snippets.
  • Adaptive company memory: Updates continuously as facts change. No manual re-ingestion needed.
  • Relevance-first retrieval: Re-ranks results by contextual importance, not just rigid similarity metrics.
  • Unified access layer: Use the same structured context across all tools, APIs, and workflows.
In short, Qontext turns your company’s scattered data into a living, contextual memory for your AI systems.

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Get Started

We provide an easy to use hosted cloud API. You can use Qontext through:

Qontext API

Call the API directly to ingest or retrieve context.

Workflow Builders

Integrate Qontext into no-code tools like n8n, make.com, or Zapier using simple HTTP request nodes.

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Authentication

To start using the API:
  1. Sign up for Qontext
  2. Create a workspace and get your API key from the dashboard
  3. Include it in all API requests as a header:
cURL
--header 'X-API-Key: q_sk_***************'

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Step 1 - Ingest Your Data

Bring company data into Qontext from any source — by connecting your tools, alternatively by ingesting data manually. Qontext automatically processes, structures, and links it in your Context Vault. Example: Ingesting unstructured data
cURL
curl --request POST \
  --url https://api.qontext.ai/v1/ingestion/unstructured \
  --header 'Content-Type: application/json' \
  --header 'X-API-Key: q_sk_***************' \
  --data '{
    "workspaceId": "ws_123e4567-e89b-12d3-a456-426614174000",
    "knowledgeGraphId": "kg_681c0068-b589-4923-ac4a-73040fab7a45",
    "text": "Harry Potter met with Hermione Granger to discuss potential partnership opportunities."
  }'
Response: 
{
  "syncLogId": "sync_a01c7c1c-ecb0-49ec-af7f-329f4b4628bf"
}
This confirms your content has been received and is being structured inside your Context Vault.

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Step 2.0 - Retrieve Context

Once your data is ingested, you can retrieve context dynamically for any AI workflow or prompt. Qontext traverses your context graph, explores related entities, and returns the most relevant, connected information, not just keyword matches. Example: Retrieve Context
cURL
curl --request POST \
  --url https://api.qontext.ai/v1/retrieval \
  --header 'Content-Type: application/json' \
  --header 'X-API-Key: q_sk_***************' \
  --data '{
    "workspaceId": "ws_123e4567-e89b-12d3-a456-426614174000",
    "knowledgeGraphId": "kg_681c0068-b589-4923-ac4a-73040fab7a45",
    "prompt": "Give me the following information regarding Harry Potter. 1) Who is he? 2) What is his relationship with Gryffindor Inc., Weasleys Wizard Wheezes, and Ollivanders?",
    "limit": 5,
    "depth": 1,
    "rerank": true
  }'
Response: 
{
   [
      "*Harry Potter -> Gryffindor Inc. (works_at)*: Harry Potter works at Gryffindor Inc. as Project Lead.",
      "*Harry Potter*: Harry Potter is a contact with email harry@gryffindor.com; he entered the system on 2025-09-01, had first outreach on 2025-08-11, was last contacted on 2025-08-28, and is in the lead lifecycle stage.",
      "*Harry Potter -> Weasleys Wizard Wheezes (advisor_to)*: Harry Potter is advising Weasleys Wizard Wheezes on new product launches.",
      "*Weasleys Wizard Wheezes*: Weasleys Wizard Wheezes is a magical joke shop company co-founded by Fred and George Weasley, specializing in prank and novelty products for wizarding customers.",
      "*Harry Potter -> Ollivanders (consulted_for)*: Harry Potter consulted for Ollivanders regarding wand customization strategies.",
      "*Ollivanders*: Ollivanders is a wand-making company with a legacy spanning centuries, providing premium wands to witches and wizards globally."
   ]
}

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Step 2.1 - Connect Qontext to Your AI Workflows

You can integrate Qontext retrieval directly into:
  • n8n using the HTTP Request Node
    • Set the URL to https://api.qontext.ai/v1/retrieval and include your X-API-Key header.
  • make.com or Zapier by calling the same endpoint and feeding results into downstream actions (e.g., OpenAI, Slack, Notion).
We also offer native integrations with n8n, Make.com, and Zapier, making it even easier to use our API. Learn more about using Qontext in Workflow Builders here.