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Generative AI

Exploring the Potential of Your Data with AWS Q Gen AI Chat Assistant and Perficient Handshake

Big Data Technology And Data Science Illustration. Data Flow Concept. Querying, Analysing, Visualizing Complex Information. Neural Network For Artificial Intelligence. Data Mining. Business Analytics.

The recent introduction of AWS Q has certainly caught the attention of the tech community. This new platform offers a promising set of features, including Retrieval Augmented Generation capabilities, aiming to enhance the domain of generative AI-powered assistance. It’s an interesting development that offers fresh possibilities for IT professionals and developers.

In terms of utilizing AWS Q, users are presented with a variety of options. There’s the choice of using a native retriever for a more targeted scope, or leveraging AWS Kendra’s comprehensive Semantic Search to widen the knowledge base available for Q’s generative answering. This flexibility allows companies to provide answers that are relevant and unique to their specific requirements. The only limitation is the extent of data you’re able to index.

This is where Perficient Handshake connectors come into play. Back in March 2021, we launched our Handshake integration with AWS Kendra, ensuring compatibility with all of our sources. Perficient Handshake is designed to be adaptable, and we’ve added a dozen new sources since the integration, including Snowflake, Kafka, Veeva, among others. Perficient Handshake provides a low code method to read, transform, and synchronize your organization’s knowledge with AWS Kendra.

At Perficient, we are at the forefront of the next generation of AI and ML. We’re excited about the progress we’ve made and are looking forward to creating innovative solutions with AWS Q.

Join us on this journey of discovery. Let’s see what we can build together.

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Zachary Fischer

Zachary Fischer is a Senior Solutions Architect in the Perficient Data Solutions Intelligent Search Practice. He specializes in large scale search knowledge and commerce implementations, as well as Perficient product management. When not working, Zach enjoys playing music and spending time with his dog.

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