Perplexity · Chat model
Sonar Pro for customer support
Yes – Sonar Pro’s large context window helps it handle complex customer support queries. Chatref grounds its answers in your own content, so responses stay accurate and on-brand.
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The model at a glance
The facts, from the source.
Context window
200K tokens
Max reply
8K tokens
Accepts
text
Availability
Proprietary
Verified against the provider.
Where it fits
Sonar Pro across support workflows
How well the model suits each job – grounded in what it can really do, not hype.
Why this matters
What breaks when you run Sonar Pro raw
Raw model intelligence matters less in production than retrieval, grounding, and workflow orchestration.
Hallucinates wrong answers. It confidently gives incorrect details about your product or policies.
Stale answers. It repeats outdated info after your docs or pricing change.
No account context. It can't see the customer's order history or subscription details.
Inconsistent retrieval. It misses key info in your help docs or site even when asked directly.
Policy drift. It starts giving off-brand or incorrect advice after long chats.
No human handoff. It can't flag urgent issues or pass chats to your team.
The Chatref way
The model is one layer. Grounding is the rest.
The AI model is just the engine – it's what we build around it that delivers real support.
If you're deploying AI for customer-facing workflows, the model is only one layer – grounding, retrieval quality, escalation logic and knowledge orchestration usually decide whether it works in production.
Can you use Sonar Pro for customer support?
Yes – Sonar Pro’s large context window helps it handle complex customer support queries. Chatref grounds its answers in your own content, so responses stay accurate and on-brand.
What is Sonar Pro's context window?
Sonar Pro can hold up to 200K tokens of context in one conversation.
What inputs does Sonar Pro accept?
Sonar Pro accepts text.
Is Sonar Pro open-weight?
No – Sonar Pro is proprietary and runs through its provider.
Will Sonar Pro make up answers in support?
On its own it can. It confidently gives incorrect details about your product or policies. A grounding layer keeps every answer tied to your real content.
What does Sonar Pro need to work in customer support?
The AI model is just the engine – it's what we build around it that delivers real support.
How does Chatref use models like Sonar Pro?
Chatref wraps the model in a grounded layer – it answers from your own content, shows where each answer came from, and hands the chat to your team when needed.