Free Research Note
Build or Buy RAG? Evaluating Your Options for GenAI with Retrieval Augmented Generation
Retrieval augmented generation (RAG) has emerged as an efficient way to make GenAI language models more trustworthy. This report explores the requirements for RAG, defines its architectural elements, and compares the options of building a custom workflow and buying a commercial RAG product.
Data and AI leaders should read this report to learn:
- What RAG is, how it works and what use cases it supports
- Why commercial RAG products hold certain advantages over custom RAG workflows
- Evaluation criteria and key questions for practitioners to determine their buy-vs.-buy path
Join over 250,000 annual readers!
“BARC surveys give me a practical overview of what’s out there in the market and what you don’t normally hear about data, BI and analytics in your day-to-day life”.
Pietro Grammatico, Director Service Management BI, Vorwerk
Sponsor & download
For a free version of the report, click on a sponsor’s logo below.
Further information
This report compares the options of building a custom workflow or buying a commercial RAG product.
FAQ
Click on any of the sponsor logos. This will take you to the sponsor's website where you can download the content for free.
Absolutely! We want to provide you with free knowledge that can benefit you in your work. Keep us in mind when you need assistance with your next project!
As an independent analyst firm, we regularly collect data and create content, such as studies, based on that data. Thanks to our sponsors, we are able to provide these free of charge. Therefore, the only way to download the content at this time is from their website.