Not all chat models are included in the same series
AWS official guide distinguishes between Nova 2 Lite, Nova 2 Sonic and multi-modal embedding models: Lite processes text, images, videos and documents and outputs text; Sonic is oriented towards voice and text interaction; the embedding model generates vectors for similarity retrieval. Vectors are a machine comparison representation, not a directly readable answer for the user.
How to combine functions
A data question and answer application can first retrieve relevant materials and then answer them by a generative model; the voice portal also has to deal with user speaking, waiting and interruption. Different models are responsible for different links. Just because the brands are the same, it cannot be assumed that one interface can handle them all. Before selecting components, you should draw clear paths for input, processing, and output.
Which type of team is more worthy of evaluation (ChinaOPC analysis)
Teams that already use AWS infrastructure and need to add data understanding capabilities to existing applications can first do a small-scale trial in a familiar environment. If it is just a one-time copywriting production, there is no need to build an additional complex cloud system for the model name. Selection should be based on existing business and technical capabilities.
For example, an after-sales information portal can first verify whether the user can find the correct product manual before considering automatic replies. When materials cannot be found, the system should explain the lack of evidence and direct labor; it is not appropriate to allow the generated model to fill in repair steps or non-existent warranty commitments just to maintain the conversation.
Verification is performed in layers
The retrieval layer checks that the hit document is correct, the response layer checks for fidelity to the material, and the speech layer checks for noise, interruptions, and after-speech responses. Only by recording errors at each layer separately can we determine whether the problem comes from the model, data or system connection. After the entire process is completed, evaluate concurrency and long-term performance.
Service conditions and total charges
Model availability depends on service area and account conditions, and should be subject to the actual console and official instructions. Costs may include model calling, storage, retrieval, network, etc. You should not compare just one token unit price. Before officially providing customer service, confirm permissions, data retention, and abnormal recovery methods.
Continue to compare
Understand Command’s knowledge base division of labor; Compare Gemini’s multi-modal input. You can also browse the AI model column.