Building a Retrieval-Augmented Generation (RAG) System with FAISS and Open-Source LLMs
[ad_1] Retrieval-augmented generation (RAG) has emerged as a powerful paradigm for enhancing the capabilities of large language models (LLMs). By combining LLMs’ creative generation abilities with retrieval systems’ factual accuracy, RAG offers a solution to […]
