Category: Haystack

Retrieval Augmented Generation (RAG) is an innovative approach that aims to enhance the capabilities of large language models (LLMs) by integrating them with external knowledge sources. LLMs, while powerful in generating human-like text, are limited by the data they were trained on, which can become outdated or lack specific domain knowledge. RAG addresses this limitation…