RAG
Acronym for: Retrieval-Augmented Generation
A technique that enhances AI responses by retrieving relevant information from external knowledge bases. This capability is implemented by tools like Relevance AI to enhance automation and efficiency.
Context
RAG helps AI agents access up-to-date and domain-specific information. This is crucial for support agents accessing documentation or sales agents using product knowledge.
Examples
- 1A support agent retrieving relevant help articles to answer questions
- 2A sales agent pulling company-specific case studies
- 3A research agent accessing proprietary databases
Implementing Agents
AI agents that implement or utilize RAG:
Relevance AI
AI agent platform for building custom sales and marketing automation workflows with pre-built templates and no-code tools
Implements RAG as a core feature
Regie.ai
Generative AI platform for creating personalized sales content and automating outbound prospecting at scale
Implements RAG as a core feature
Outreach
Enterprise sales engagement platform with AI-powered sequence optimization, conversation intelligence, and revenue forecasting
Implements RAG as a core feature
Reply.io
AI-powered sales engagement platform with multi-channel sequences, AI SDR agent, and automated meeting booking
Implements RAG as a core feature
Woodpecker
Cold email automation platform focused on deliverability with AI-powered personalization and A/B testing for B2B outreach
Implements RAG as a core feature