I used Amazon Bedrock for an application for a flight company where users could ask questions about flights, including dates and times. I utilized Amazon Bedrock to generate SQL queries that retrieve data from the SQL database to answer users' questions.
Amazon Bedrock provides a diverse range of models from multiple providers, such as models from Meta and Cloud Anthropic, which enables selecting the best ones. Bedrock proved beneficial for generating SQL queries, which helped in delivering precise information from the database. The models are of good quality, which significantly helped in my project as compared to models from other providers.
It would be beneficial if Amazon Bedrock could provide multiple responses to a query, allowing users to choose the best option. This feature would be especially useful for tasks requiring creativity.
I worked with Amazon Bedrock on one project, a retrieval augmented generation (RAG) project. My recent experience with it was about one month ago.
Amazon Bedrock has been stable, consistently returning results without errors or timeouts in the API.
I cannot answer this question because the project was only a demo, not meant for deployment. Consequently, the application was not scalable, and I did not encounter any scalability issues.
In college, I used Azure for a small project involving Docker. I deployed a small website using their Docker registry. Compared to Amazon Bedrock, Azure did not offer models like GPT on its platform.
Apart from Amazon Bedrock, I used models from Google, such as Gemini. However, Bedrock's model quality, specifically the cloud anthropic, was superior.
The initial setup of Amazon Bedrock was straightforward. After creating a role for authentication and obtaining an API key, I followed the easy instructions in the documentation. Being familiar with Python, the setup took about ten minutes.
I had a budget of $300 for most of the project. The overall pricing of Amazon Bedrock was reasonable and did not pose any issues.
I recommend Amazon Bedrock due to its wide range of models and quality. Reading the documentation thoroughly can ease the setup process.
On a scale of one to ten, I would rate Bedrock as an eight because some attributes were not very flexible.
