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Cohere

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Cohere offers enterprise LLM APIs for text generation, embeddings, and retrieval-augmented generation, built with a strong focus on data privacy.

What is Cohere?

Cohere was founded in Toronto in 2019 by former Google Brain researchers — including Aidan Gomez, a co-author of the original "Attention Is All You Need" paper that introduced the transformer architecture underlying virtually every modern large language model. That research pedigree shaped the company's focus: rather than chasing consumer-facing chatbot products, Cohere positioned itself as the enterprise NLP infrastructure layer, offering text generation, embedding, classification, and retrieval-augmented generation through a clean API designed for production workloads at scale.

The platform exposes several distinct model families through REST endpoints. Command models handle instruction-following and text generation; Embed models convert text into high-dimensional vectors for semantic search and retrieval; Rerank models re-score search results by relevance. Cohere also supports fine-tuning, allowing enterprises to adapt base models on proprietary data without sharing that data with a third party — a key differentiator for regulated industries. The API runs on Cohere's own cloud infrastructure but can also be deployed on AWS, Azure, Google Cloud, or within private cloud environments through Cohere's bring-your-own-cloud program.

API disruptions cascade differently depending on which endpoint is affected. If the generation endpoint is down, applications using Command for content creation, summarization, or conversational AI return errors or hang on completion requests. Embedding pipeline failures are particularly disruptive for vector search applications: if embeddings cannot be generated for new documents, the retrieval index goes stale, and search quality degrades silently rather than failing loudly. Rerank outages affect applications where a two-stage retrieval-then-rerank pattern is critical to output quality. The Cohere dashboard and fine-tuning job submission surface may also become unresponsive during infrastructure incidents.

Outage.gg provides live status tracking for Cohere's API so engineering teams can quickly identify platform-side incidents. Visit the status page to check current uptime and active incidents.

Common Cohere Problems

Issues users most frequently report when Cohere is having problems.

1

Service unavailability

API calls are failing, dashboards are unreachable, or the service is returning 5xx errors.

2

Slow performance / high latency

Response times are significantly above normal, causing timeouts and degraded user experience.

3

Authentication failures

API keys, OAuth tokens, or SSO logins are being rejected unexpectedly.

4

Data sync & storage issues

Files, databases, or synced data are not updating, missing, or inaccessible.

Experiencing one of these? Report it on the Cohere status page →

Frequently Asked Questions

Common questions about Cohere outages and server status.

You can check the live Cohere server status at outage.gg/services/cohere. The page shows real-time community-submitted outage reports, an hourly trend chart, and the current health status.

Cohere can stop working for a number of reasons including scheduled maintenance windows, unexpected server failures, network infrastructure problems, or DDoS attacks. Check the live status page on Outage.gg for the latest community reports to see if others are experiencing the same issue.

Go to outage.gg/services/cohere and click the "Report an Issue" button. Your report is counted immediately and helps confirm whether a problem is widespread. Reports from multiple users trigger a status change visible to everyone watching the page.

Click the "Notify Me" bell button on the Cohere status page at outage.gg/services/cohere. Create a free account and we will send you an email the moment Cohere comes back online — no app download required.

Many services maintain official status pages with planned maintenance notices. Outage.gg aggregates real-time community-reported outages which often surface faster than official channels.

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