Enterprise language AI

How to use
Cohere.

Building enterprise text generation and retrieval systems with Chat, multilingual embeddings, semantic Rerank, tool use, and grounded generation.

Open Cohere ↗ Official download ↗
What it isenterprise language model, embedding, reranking, and retrieval platform Workflows2 UpdatedJuly 2026

Cohere is a enterprise language model, embedding, reranking, and retrieval platform. Building enterprise text generation and retrieval systems with Chat, multilingual embeddings, semantic Rerank, tool use, and grounded generation. This guide covers the whole path in one place: official access, a first session that produces something reviewable, the checks that make output trustworthy, and the permissions worth limiting before you connect real work.

Troiana principle

AI should make the work easier to inspect. If the workflow removes the source, the owner, or the review step, redesign the workflow.

01

Access & setup

Find, install, and sign in to Cohere

Get into the official Cohere experience with the right account and a setup you understand.

  1. 01

    Start at https://cohere.com/ and confirm the domain before entering account or payment information.

  2. 02

    Availability: Cohere is accessed through its dashboard, hosted API, SDKs, cloud-provider integrations, and private deployment options rather than a required desktop app.

  3. 03

    A Cohere account and API key or approved cloud deployment, a secure application environment, and an evaluated model and data path.

  4. 04

    Sign in with the account you intend to keep using, then review plan, data, notification, and permission settings.

  5. 05

    Run one low-risk test task before connecting sensitive files, repositories, or workspace data.

  • Use official download pages.
  • Review permissions during setup.
  • Keep installers and applications updated.
02

First session

Your first useful Cohere session

Learn the interaction loop using a small task with a clear outcome.

  1. 01

    Create a development key and define a small benchmark for one text generation or retrieval task.

  2. 02

    Pin an available model and send a minimal request with explicit system instructions and output limits.

  3. 03

    Validate the response structure, finish reason, token and billed-unit metadata, latency, and error handling.

  4. 04

    Compare results across representative and adversarial cases before connecting private data or production traffic.

  • State the outcome before the background.
  • Provide the real source material.
  • Review the result before expanding the task.
03

Quality control

Check the quality of Cohere output

Establish that a retrieved answer is actually supported by the sources it cites.

  1. 01

    Restate the question precisely; retrieval quality degrades fastest on vague or compound queries.

  2. 02

    Open the cited sources and confirm each one genuinely contains the claim attributed to it.

  3. 03

    Check the publication and capture dates — stale sources are the most common cause of confidently wrong answers.

  4. 04

    Look for what is missing: retrieval returns what matches the query, not what would contradict it.

  5. 05

    Confirm quotations are verbatim and that summaries have not reversed a qualification or a negation.

  • Open the citation; do not trust that a link supports the claim beside it.
  • Check dates on every retrieved source.
  • Treat an absent contradiction as unverified, not as agreement.
04

Privacy & permissions

Use Cohere safely

Control what you index and what leaves your systems when you query it.

  1. 01

    Classify the corpus before indexing: confidential, personal, and regulated material needs an explicit decision.

  2. 02

    Confirm where the index is stored, who can query it, and how long content is retained.

  3. 03

    Scope crawling and scraping to sources you are permitted to collect, and respect robots and terms of use.

  4. 04

    Strip secrets and personal data before indexing rather than filtering them at query time.

  5. 05

    Review query logs — the questions asked can be as sensitive as the documents indexed.

  • Generated text and semantic rankings can be wrong, biased, or insufficiently grounded. Protect API keys, minimize sensitive context, preserve document permissions and identity, use the correct embedding input types, validate response and citation support, evaluate multilingual and adversarial cases, and monitor model versions, rate limits, billed units, and production-key usage.
  • Follow your organisation's approved-use policy.
  • Never treat fluent output as authorization to act.
05

Core workflows

Step-by-step ways to use Cohere for the work it does best.

Each workflow is a separate guide with its own steps and review checkpoints.

01 WorkflowBuild a grounded RAG pipeline with Cohere

Combine Embed, retrieval, Rerank, and Chat while preserving document identity, evaluation evidence, and citations.

 02 WorkflowShip a controlled Cohere Chat integration

Create structured text generation with pinned models, explicit messages, bounded output, and production observability.

06

Official references

Check the current product documentation.

Features, plan limits, availability, and data controls change. These official pages are the starting points used for this guide.

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