What is Knowledge Retrieval Augmentation?
A technique that enhances AI model outputs by integrating retrieved knowledge into the generation process.
More about Knowledge Retrieval Augmentation:
Knowledge Retrieval Augmentation combines retrieval systems and generative AI to produce responses enriched with retrieved information. This process involves fetching relevant knowledge from sources like external knowledge bases or vector databases and incorporating it into AI outputs.
This technique is central to frameworks like retrieval-augmented generation (RAG) and applications such as context-aware generation, where accuracy and relevance are paramount.
Frequently Asked Questions
How does knowledge retrieval augmentation benefit AI systems?
It improves the factual accuracy and contextual richness of AI-generated responses.
What components are required for knowledge retrieval augmentation?
Key components include retrieval models, embeddings, and generative AI models.
From the blog
Why Are Chatbots a Great Tool for Strategically Using Marketing Automation and AI?
Discover the synergy between chatbots, marketing automation, and AI. Learn how tools like SiteSpeakAI are revolutionizing the way businesses engage with customers and streamline marketing efforts.
Herman Schutte
Founder
How to Get Your Small Business Ready for AI
You keep hearing about Artificial Intelligence (AI) and wonder what it’s got to do with your business. The buzz is strong and it definitely sounds exciting, but is this big, must-go party exclusively for multibillion-dollar companies, or can small businesses get an invite, too?
Ane Guzman
Contributor