Tag: RAG implementation

Citation and Attribution in RAG Outputs: How to Build Trustworthy LLM Responses

by Phillip Ramos

Citations in RAG systems turn AI guesses into verifiable facts. Learn how to implement accurate, trustworthy citations using real-world frameworks, data prep tips, and the latest 2025 research to meet regulatory demands and build user trust.

Recent-posts

Data Curation for Generative AI: Building High-Quality Corpora Without Bias Amplification

Jul, 2 2026

Training Non-Developers to Ship Secure Vibe-Coded Apps

Feb, 8 2026

Prompt Injection Defense: How to Sanitize Inputs for Secure Generative AI

May, 11 2026

Boosting LLM Accuracy: Combining RAG with Advanced Decoding Strategies

Jul, 9 2026

How to Choose the Right Embedding Model for Your Enterprise RAG Pipeline

Feb, 26 2026