Tag: RAG
AI Governance and Auditability Benefits in Progress Agentic RAG
AI governance in regulated enterprises isn’t a model problem — it’s a retrieval-layer problem, and Progress Agentic RAG embeds auditability where it matters.
The Importance of RAG Prompt Labs
RAG and Prompt Labs give teams a sandbox to tune retrieval and prompt configurations before they reach production.
How Retrieval Improves Accuracy and Reduces Hallucination in AI
Here’s how retrieval-based grounding works to reduce hallucinations and generate answers with better context.
RAG vs. Fine-Tuning: Choosing the Right AI Strategy for Your Data
Learn the difference between fine-tuning a model vs. using RAG and how to evaluate which is right for your use case.
A Simple Step-by-Step Guide to Building a Company Knowledge Assistant with Agentic RAG
Agentic RAG can help you build a company knowledge assistant so you can use actual data from your company. Here’s a practical guide for how to get started.
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