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Adobe enhances developer productivity using Amazon Bedrock Knowledge Bases
- Adobe Inc. offers a suite of creative tools for digital artists, designers, and developers worldwide. Adobe's Developer Platform team created Unified Support to centralize developer information, improving efficiency and reducing support costs.
- Adobe partnered with the AWS Generative AI Innovation Center to enhance their developer support system using Amazon Bedrock Knowledge Bases.
- The solution resulted in a 20% increase in retrieval accuracy, empowering developers to access Adobe-specific guidelines and best practices efficiently.
- Adobe's project focused on developing a robust document retrieval engine and scalable, automated deployment using Amazon Bedrock Knowledge Bases.
- The solution enabled multi-tenancy through metadata filtering and streamlined the retrieval process using the Retrieve API.
- Experimental testing included optimizing data chunking strategies to improve retrieval performance, with the fixed-size 400-token strategy proving most effective.
- The integration of metadata filtering and the Amazon Titan V2 embedding model significantly increased retrieval accuracy for Adobe's developer support.
- Key individuals involved in the project include Kamran Razi from Amazon and Nay Doummar, Varsha Chandan Bellara, Jan Michael Ong from Adobe, among others.
- The collaboration between Adobe and AWS led to a scalable, efficient developer support solution, laying a foundation for continuous improvement in developer support at Adobe.
- The Amazon Bedrock Knowledge Bases solution offers advanced data chunking, retrieval capabilities, and metadata filtering to enhance developer productivity at Adobe.
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