What is RAG? Retrieval-Augmented Generation. It is a technique that increases the accuracy and reliability of LLM models by feeding relevant and specific information or data sources to the model. With this system, users can build conversations with d...
In the age of large language models (LLMs), Retrieval-Augmented Generation (RAG) is quickly becoming the backbone of scalable, accurate, and grounded AI systems. Whether you're powering a customer support assistant, a financial copilot, or a contextu...
