AWS cloud AI & data scientist at a tech services company with 51-200 employees
Real User
Top 20
2024-11-25T16:50:27Z
Nov 25, 2024
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.
Full-stack Developer - Node | Android | AWS | Java at a tech company with 11-50 employees
Real User
Top 10
2024-10-31T11:20:12Z
Oct 31, 2024
The primary use case for Bedrock involved using Bedrock for vector embeddings to have a data store for my RAG application. Bedrock was used during a project where vectorized data was needed for one of the products.
Amazon Bedrock enhances AI integration by providing a suite of foundational models with customization options. It simplifies data integration and offers security, traceability, and cost-efficiency through its serverless architecture.Amazon Bedrock empowers users by offering models from multiple providers, ensuring model flexibility and ease of use. It supports quick development for applications such as vector search and SQL query generation. While the system is beneficial for AI integration...
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.
I have used Amazon Bedrock to create knowledge bases for a machine learning project. This is my primary use case.
The primary use case for Bedrock involved using Bedrock for vector embeddings to have a data store for my RAG application. Bedrock was used during a project where vectorized data was needed for one of the products.