GenAI RAG Accelerator
Harness the power of Generative AI Retrieval Augmented Generation (RAG) for your business.
What is RAG and Q for Business?
Retrieval Augmented Generation (RAG) is a natural language processing technique that enables generative AI models to reference an authoritative knowledge base before generating an answer. RAG can be used to build AI assistants tailored to a specific business domain. Amazon Q for Business enables the rapid creation, tuning and deployment of RAG solutions.
Benefits
Team Productivity
Q for Business streamlines workflow by summarising documents, generating drafts, conducting research, or running comparative analysis.
Tailored to Your Needs
Q connects to company information, allowing it to generate content and take actions that are relevant to your business.
Secure & Compliant
Q understands and respects existing role and permission structures and boundaries, enabling customers to meet their most stringent enterprise compliance needs.
Reduced Code & Infrastructure
Compared to self-build, a Q implementation has a far lower implementation and maintenance overhead, reducing TCO.
Constantly Evolving
The LLM technology backing Q is constantly evolving, meaning that improvements can be incrementally deployed at low cost.
Sustainability
Using centrally trained and managed models, as opposed to self-training Q improves your company’s carbon footprint.
GenAI RAG Accelerator
Rapidly pilot and explore the benefits of Generative AI for your business by leveraging off-the-shelf templates and our expertise in building custom AI solutions.
Tailored for organisations with internal domain-specific knowledge bases; for example, standard operating procedures and market intelligence.
Why fourTheorem? We wrote the book on it.
AI as a Service
AI as a Service is a detailed guide to operationalising Cloud Native AI Services on AWS.
As an Advanced Consulting Partner, we have architected and delivered systems for our customers that harness the power of AWS AI services.
