LLM08:2025 – Vector and Embedding Weaknesses: A Hidden Threat to Retrieval-Augmented Generation (RAG) Systems
Retrieval-Augmented Generation is an advanced technique that augments pre-trained LLMs with external, domain-specific knowledge bases. Instead of relying solely on static training data, RAG-enabled models retrieve real-time contextual information, thereby enhancing relevance and accuracy.