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Context Engineering

Context engineering that gets your AI past the pilot.

Most enterprise AI works in a demo and stalls on real questions, because the large language model cannot reach what the company knows. Argonos handles the retrieval, the ranking, the permissions, and the grounding, so what your team builds works in production, on your own infrastructure.

  • 200+ Connectors to your systems of record
  • 80 Hours of development avoided per application
  • 5X Improvement in cross-program answer quality
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One context layer, end to end

  • Find

    Argonos is connected to your systems of record alongside your documents and collaboration tools. Drawings, tickets, and scanned archives become retrievable without building a pipeline first.

  • Decide

    Reasoning over the original records, with linked citations. Argonos returns the passages a question needs, assembled and ordered, so the model gets the relevant content rather than the nearest match.

  • Act

    Your teams build on the same foundation, through APIs your developers already use. What you connect for one application is available to the next.

  • Trust

    Permissions come from your source systems, and every retrieval is logged. An application only returns what the person asking is cleared to see.

Applications

Where grounding gets hard

Argonos handles the retrieval underneath each of these, so your teams build on one governed layer rather than four.

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The assistant everyone asks

An assistant open to the whole company gets long-tail questions nobody scoped for, across content nobody curated. Argonos decides what to retrieve for each one, and enforces who can see what.

  • When the user doesn't know the exact term
  • Department boundaries enforced at query time
  • Content retrieved whatever language it was written in
  • New sources defined and added without a rebuild
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When the answer leaves the building

A wrong answer to a customer is a different order of problem. Argonos grounds each response in approved content and shows where it came from.

  • Defined sources a response can draw on
  • A question in any language, answered from content in another
  • Advanced retrieval at global customer volume
  • What was retrieved, for every response you sample
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Depth in a single discipline

A copilot for engineers, researchers, or clinicians must handle the vocabulary and the formats of that discipline. Argonos retrieves across the content that domain runs on, using your own ontologies.

  • Drawings, tables, and scans made retrievable
  • The terms this discipline uses for the same thing
  • The section that answers, not the whole document
  • Which version governs today
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When the answer gets acted on

When an agent or tool acts on what it retrieved, the retrieval must be right. Argonos gives agents and workflows the same grounded layer your teams search.

  • The sources an application is configured to see
  • What each step in a task needs
  • The one record that applies, when several look close
  • One retrieval layer, however many agents run

What our clients say

The shift underway

Context engineering vs. prompt engineering

Prompt engineering optimizes one instruction, for one turn. Context engineering assembles everything the model sees, at every step: instructions, retrieved knowledge, memory, and tool outputs. One is a skill anyone can practice. The other, at enterprise scale, is a platform.

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Putting Operational AI to work with Argonos

Ready to build on your own knowledge?

FAQ

FAQ about Context Engineering

The practice of gathering, structuring, and supplying the contextually-relevant knowledge an LLM or agent needs to accurately and effectively respond to a given task or prompt.