Amazon Bedrock Reviews

We use Bedrock primarily for its LLM (Large Language Model) capabilities. It serves our needs related to artificial intelligence solutions, including capabilities related to LLM.

Bedrock has been stable and works seamlessly as part of AWS services. Collaborating with it means we can easily integrate solutions however needed, and it's useful as we understand AWS's standard way of operating.

The valuable feature of Bedrock is its flexibility and comprehensiveness in what it's offering, providing parameters that we can change. This differs from Kendra, which doesn't allow parameter adjustments.

One area for improvement is in cost—it tends to be a bit on the higher side, especially for enterprise versions. Furthermore, it lacks certain AI capabilities, such as supporting voice and images.

We have been using Bedrock for two to three months.

Over the past three months, the solution has been absolutely stable with no issues.

Bedrock is scalable. However, there are inherent limitations such as rate per limits and token limits which are standard for LLMs, and we are aware of them.

Technical support from Amazon is satisfying, though Text and Kendra could use improvements. Both are like black boxes with limitations in parameters that could be controlled.

Positive

The initial setup of Bedrock is straightforward, and no significant issues were encountered during deployment.

I can manage the setup independently and do not require an extensive team for installation.

The licensing and overall pricing of Bedrock are competitive compared to other providers like Azure. However, LLM solutions can be expensive when opting for enterprise versions.

The integration is seamless, and given the LLM limitations are known, it allows us to plan and manage accordingly. Awareness of cost implications might be necessary.

I'd rate the solution ten out of ten.