RAG and search
Enterprise AI Accuracy: Building a More Trustworthy RAG Application
Our short summary of Salesforce’s engineering write-up. The full story, with all the detail, is on their blog.
Read the full write-up on engineering.salesforce.com (opens in a new tab)Problem
The RAG system often returned incorrect or garbled information, confusing users and risking trust.
Solution
They added validation steps, stricter retrieval filters, and post‑generation checks to ensure retrieved data matches the query and is formatted correctly before answering.
Want the architecture, code and numbers? They’re in the original post.
Read the full write-up on engineering.salesforce.com (opens in a new tab)
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