RAG pipelines are a revolutionary NLP technique that combines the power of Large Language Models (LLMs) with external knowledge sources. This allows LLMs to access and utilize real-world information, leading to more accurate, factual, and contextually aware responses in tasks like text generation, translation, and question answering.

This blog series will delve deeper into RAG pipelines, exploring their functionalities, benefits, and practical implementation using LangChain. Stay tuned for future articles that will guide you in building and utilizing RAG pipelines for your own NLP projects!