Problem Statement
The client's content team struggled with time-consuming research processes due to a vast volume of internal documents, public blogs, and frequently updated content. Manually searching for relevant information often led to delays in content creation.
Challenges
Solutions
OpsTree implemented a GenAI solution using Amazon Bedrock’s Retrieval-Augmented Generation (RAG) model to
optimize the research process. The approach involved
Knowledge Base Creation
We consolidated all internal and external resources into a unified knowledge base, ensuring seamless access to information. Real-time updates were implemented to keep the content fresh and relevant, addressing the challenge of outdated materials.
Integration with GenAI
To enhance research efficiency, we developed a Retrieval-Augmented Generation (RAG) model using Amazon Bedrock. This allowed for faster, more accurate content retrieval, tailored to the platform’s specific needs.
Customization for the EdTech Platform
We fine-tuned the AI model to align with the platform’s tone, style, and content requirements. This ensured that the content team received precise, relevant data, improving their ability to create consistent, high-quality material.
