Our Pillars
RAG: AI-Powered Knowledge Management
Discover how Retrieval-Augmented Generation (RAG) is transforming knowledge management and elevating the capabilities of generative AI models. Explore real-world use cases that demonstrate its impact.
Posts
Juan Pablo Balarini
28 MAR 2024
Juan Pablo Balarini
28 MAR 2024
AI
RAG integration: empowering document management with DocsHunter
At Eagerworks, we integrated RAG into our in-house AI products, such as Docs Hunter. Aiming at companies working through a vast array of documentation and information, Docs Hunter was specifically designed to streamline these processes, offering functionalities like summarization, Q&A, and the implementation of chatbots for your business.
Rosina Cataldo
22 MAR 2024
Rosina Cataldo
22 MAR 2024
Design
AI tools to boost design creativity
Will AI completely replace designers? AI is meant to enhance our processes rather than supplant human creativity entirely. In this article, I delve into the role of AI in design and its potential to boost our creative approach.
Juan Pablo Balarini
27 FEB 2024
Juan Pablo Balarini
27 FEB 2024
Programming
An introduction to RAG: Retrieval Augmented Generation explained
Do you ever find it frustrating when trying to get ChatGPT to provide specific responses, but it ends up giving you nonsense instead? Wouldn't it be great if you could give ChatGPT some relevant context and have it respond with something meaningful? In this article, we'll delve into the concept of RAG and its potential to address this very issue.
Juan Pablo Balarini
04 DEC 2023
Juan Pablo Balarini
04 DEC 2023
AI
AI in document management: the DocsHunter case
In an era where agility and efficiency are paramount, businesses are increasingly looking at Artificial Intelligence (AI) to streamline operations and boost productivity. Leveraging AI opens up new paths for groundbreaking solutions, creating a culture of continuous advancement and setting new standards for innovation, especially for corporations dealing with intricate processes and extensive data.
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