Coveo, a leader in AI relevance solutions, has introduced a new cloud-native offering called Retrieval Augmented Generation (RAG)-as-a-Service, specifically designed for AWS agentic AI services. Announced on December 1, 2025, in Montreal, this service aims to enhance the precision, security, and scalability of generative AI applications used by enterprises.
This innovative solution integrates with AWS services, including Amazon Bedrock AgentCore and Amazon Quick Suite, using a Coveo-hosted MCP Server. This integration enables organizations to ground their AI responses in factual and context-aware data, ensuring compliance and relevance. According to Sebastien Paquet, vice president of AI strategy at Coveo, the value of large language models (LLMs) in enterprises depends significantly on their ability to deliver relevant and accurate information.
“With our RAG-as-a-Service offering, developers and enterprises can move faster, focus on innovation, and leave the retrieval complexity to us, the experts in enterprise relevance,” Paquet stated.
Coveo’s RAG-as-a-Service comprises a suite of configurable tools, all delivered through the MCP Server. These tools include:
– **Passage Retrieval**: This feature returns the most relevant pieces of enterprise knowledge to ground LLM prompts.
– **Answer Generation**: It generates precise answers utilizing the organization’s own data, leveraging Amazon Nova.
– **Search Functionality**: Searches retrieve ranked results for context and exploratory purposes.
– **Document Fetching**: This tool provides complete document text for complex reasoning tasks and deep research.
The launch of this service coincides with AWS re:Invent, where Coveo is highlighting its permission-aware RAG-as-a-Service. The offering supports secure and scalable integration with Amazon Bedrock services. Developers interested in accelerating their generative AI or AI agents projects are invited to apply for early access to this enterprise-ready foundation.
Eric Immermann, practice director for search and retrieval at Perficient, commented on the significance of this development. He noted that combining Coveo’s established relevance platform with models delivered via Amazon Bedrock allows enterprises to deploy secure, grounded, and high-performing generative AI applications in record time.
Coveo aims to redefine the user experience by improving how enterprises connect with their customers and employees. By enhancing relevance, the company strives to align enterprise-wide content, products, and recommendations with individual preferences, behaviors, and needs.
In a rapidly evolving digital landscape, Coveo remains committed to using AI to tailor experiences, addressing the complexities of diverse audiences and large volumes of content. To stay informed on the latest developments, stakeholders are encouraged to follow Coveo’s updates through their blog and social media channels.
As companies increasingly adopt advanced AI solutions, Coveo’s RAG-as-a-Service stands out as a vital resource for ensuring that enterprises can effectively utilize AI technologies while maintaining accuracy and compliance.
