Retrieval-Augmented Generation
Retrieval-Augmented Generation is a technique using prior data and/or content, ingesting that data into a specialized Database, most likely a Vector Databases or a Multi Modal Databases, and then feeding it into an AI Model, such as an LLM. RAG promises to solve for the issue that most people and organizations are trying to work with AI in a way that is specific.
2025, February 2. [You HAVE to Try Agentic RAG with DeepSeek R1 (Insane Results)](https://youtu.be/uWDocIoiaXE?si=hACxzxH4qNI6Ez6z). Cole Medin. [[Deepseek]]
