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Amazon · Chat model

Nova 2 Lite for customer support

Yes – Nova 2 Lite's grounded answers from your own content keep responses accurate and on-brand.

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Take a tour of the product

The model at a glance

The facts, from the source.

Context window

1M tokens

Max reply

1M tokens

Input price

$0.30 / M

Output price

$2.50 / M

Accepts

text, image

Knowledge cutoff

2025-10

Availability

Proprietary

Sourced from docs.aws.amazon.com.

Where it fits

Nova 2 Lite across support workflows

How well the model suits each job – grounded in what it can really do, not hype.

Workflow
Fit
Why
Customer support chat
Yes
Handles long conversations with high token limits. Grounded in your content.
FAQ automation
Yes
Answers precisely from your docs. No made-up responses.
Order tracking
Conditional
Needs integration with your order system for real-time data.
Returns & refunds
Conditional
Requires access to your returns policy and order details.
Onboarding
Yes
Guides users step-by-step with your onboarding content.
Human handoff
Yes
Seamless transition with full chat history.
Multilingual support
Conditional
Works best with translated content in your knowledge base.

Why this matters

What breaks when you run Nova 2 Lite raw

Real-world support needs precise retrieval from your docs, not just raw model smarts.

Hallucinated answers. It confidently gives wrong details about your product or policies.

Stale information. It repeats outdated instructions even after your docs are updated.

No customer context. It can't see the user's account details to personalize help.

Inconsistent retrieval. It might miss key info in your docs or repeat the same answer.

Policy drift. It starts suggesting things your team wouldn't approve of 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.

Your AI needs to find answers in your own content – not the open web.
It must cite sources so customers trust the answers.
Memory boundaries keep replies relevant – no wandering off-topic.
Human agents must take over seamlessly when needed.
Routing steers conversations to the right team or action.
Analytics show you what questions to fix next.

The model is just one layer – grounding, retrieval, and escalation decide if it works for real customers.

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.

FAQ

Nova 2 Lite for support: questions, answered.

Still deciding? Talk to our team.

Can you use Nova 2 Lite for customer support?

Yes – Nova 2 Lite's grounded answers from your own content keep responses accurate and on-brand.

What is Nova 2 Lite's context window?

Nova 2 Lite can hold up to 1M tokens of context in one conversation.

How much does Nova 2 Lite cost?

Nova 2 Lite costs $0.30 per million input tokens and $2.50 per million output tokens.

What inputs does Nova 2 Lite accept?

Nova 2 Lite accepts text and image.

Is Nova 2 Lite open-weight?

No – Nova 2 Lite is proprietary and runs through its provider.

What is Nova 2 Lite's knowledge cutoff?

Nova 2 Lite's built-in knowledge runs to 2025-10. For anything newer it needs your live content.

Will Nova 2 Lite make up answers in support?

On its own it can. It confidently gives wrong details about your product or policies. A grounding layer keeps every answer tied to your real content.

What does Nova 2 Lite need to work in customer support?

The model is just one layer – grounding, retrieval, and escalation decide if it works for real customers.

How does Chatref use models like Nova 2 Lite?

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.