Adobe enhances developer productivity using Amazon Bedrock Knowledge Bases
Machine Learning Blog
Adobe leveraged Amazon Bedrock Knowledge Bases to enhance their developer support system, creating a unified, intelligent search platform for internal technical documentation.
- Developed a centralized system called Unified Support to help developers quickly find information
- Achieved a 20% increase in retrieval accuracy using Amazon Bedrock Knowledge Bases
- Implemented advanced features like metadata filtering and semantic vector search
- Used Amazon Titan V2 embedding model to vectorize and index documentation
- Experimented with various chunking strategies to optimize document retrieval
The solution provides a scalable, efficient way to help Adobe developers access relevant information quickly, reducing support costs and improving productivity.
The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.
Related articles
Jul 7
2025
2025
Build a just-in-time knowledge base with Amazon Bedrock
May 19
2025
2025
How Smartsheet boosts developer productivity with Amazon Bedrock and Roo Code
May 30
2025
2025
Bridging the gap between development and production: Seamless model lifecycle management with Amazon Bedrock
Jul 8
2025
2025
Accelerate AI development with Amazon Bedrock API keys
The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.