What is a Retriever-Generator Framework?
A framework combining retrieval and generation models to produce accurate, context-rich responses.
More about Retriever-Generator Framework:
Retriever-Generator Framework integrates a retrieval model and a generation model to create responses grounded in retrieved knowledge. The retriever fetches relevant information using methods like dense retrieval or hybrid search, while the generator uses this information to produce coherent, contextually accurate outputs.
This framework underpins systems like retrieval-augmented generation (RAG), enabling applications in question answering and knowledge-grounded generation.
Frequently Asked Questions
What are the advantages of a retriever-generator framework?
It ensures responses are both contextually accurate and grounded in reliable external knowledge.
What tasks benefit most from this framework?
Applications like context-aware generation, customer support bots, and knowledge retrieval leverage this framework effectively.
From the blog
Automate your customer support and marketing with Zapier and SiteSpeakAI
With the power of Zapier's 6000+ available apps and integrations, you can now connect your chatbot to your favorite tools and completely automate every aspect of your customer support and brand marketing.
Herman Schutte
Founder
How AI Chatbots Can Save You 100s Of Hours In Customer Support
Dive into the transformative power of AI chatbots in customer support. Learn how businesses can save significant time and enhance customer satisfaction, with a look at tools like SiteSpeakAI.
Herman Schutte
Founder