Observed Signal · Dec 2, 2025 · Product Launch · Source: CMSWire · Impact: 3/5 · Sentiment: Positive
Coveo Launches RAG-as-a-Service for AWS AI Agents
Coveo has introduced RAG-as-a-Service for AWS AI agents, a managed retrieval layer designed to ground enterprise generative AI in secure organizational data. Launched on December 1, 2025, the offering integrates with Amazon Bedrock AgentCore, Bedrock Agents, and Quick Suite, and is built on a hosted MCP Server. It provides four configurable tools: Passage Retrieval, Answer, Search, and Fetch. The service addresses enterprise challenges such as accuracy, content unification, and security permissions. Coveo emphasizes 'Relevance-Augmented Retrieval' to improve context. The article notes that while 88% of organizations monitor GenAI, only 10% have moved to production, highlighting security and compliance as key barriers. Coveo positions this as enabling secure, production-grade AI deployments.
Addresses a critical gap in grounding AI agents with secure, permission-aware enterprise data, relevant for MarTech and customer experience teams adopting GenAI.
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Key Takeaways & Evidence Grounding
- Coveo launched RAG-as-a-Service for AWS AI agents on Dec. 1, 2025.
- The service integrates with Amazon Bedrock AgentCore, Amazon Bedrock Agents, and Amazon Quick Suite.
- It provides a fully managed MCP Server with four tools: Passage Retrieval, Answer, Search, and Fetch.
- The service aims to address enterprise security, permissions, and content unification challenges.
- Only 10% of enterprise GenAI deployments have moved to production, according to cited data.
Connected Companies & Entities
3 Entities mapped“Coveo launched RAG-as-a-Service for AWS AI agents on Dec. 1, providing a managed retrieval layer to ground enterprise generative AI in secur...”
“The cloud-native offering integrates with Amazon Bedrock AgentCore, Amazon Bedrock Agents and Amazon Quick Suite....”
“Eric Immermann, practice director for search and retrieval at Perficient, said: 'By combining Coveo's proven relevance platform with models ...”
Ontology Mapping & Concepts
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