RAG: Retrieval-Augmented Generation

Everyone talks about RAGs, but what are they?

Retrieval-Augmented Generation (RAG) is a smart AI technology that combines generative AI with your own data. Instead of just using training data, RAG actively draws on your sources and document databases to give you up-to-date and context-specific answers. This means you get more accurate and relevant information when you need it.

RAG is perfect for organisations that need accurate and reliable answers based on your own data and knowledge.

In short, RAGs are the key to avoiding "hallucinations" (AI making up untruths) and working with your own data in the big language models - without sharing data with others.

How does RAG work?

RAG (Retrieval-Augmented Generation) makes it easy for you to get accurate and relevant answers by combining two main components:

Information retrieval: When you ask a question, RAG searches a predefined document database or internal/external data sources to find the most relevant information. This can be internal documents, knowledge bases or external sources like the internet.
Generative AI: After retrieving the relevant information, RAG uses generative AI to formulate a coherent and precise answer that integrates the retrieved data. This ensures that answers are not only based on general knowledge, but also on specific and up-to-date information.

Benefits for your business:

Increased accuracy: Get more accurate and relevant answers by drawing on specific and up-to-date information sources. This reduces the risk of errors and misunderstandings.
Time saving: Save time by letting RAG automate the process of finding and integrating information so your employees don't have to search manually.
Improved decision making: Make better informed decisions with access to accurate and up-to-date data, which can increase efficiency and competitiveness.
Customised answers: Get answers that are relevant and specific to your organisation by drawing on your own document databases and knowledge bases.
Scalability: Handle large amounts of data and many simultaneous requests with a solution that can grow with your business needs.
GDPR compliance: Ensure that all data is processed in compliance with GDPR regulations by using internal document databases and secure information sources, protecting both company and customer privacy.

With RAG technology, PrivateGPT can deliver an AI solution that is powerful, flexible, accurate and reliable. This enables your business to realise the full potential of AI and achieve better results in day-to-day operations.

Get customised AI solutions that fit your business needs perfectly.