What is RAG (Retrieval Augmented Generation)?

What is RAG (Retrieval Augmented Generation)?

Retrieval-Augmented Generation (RAG) combines content generation with real-time information retrieval, enhancing Large Language Models (LLMs) by providing up-to-date and contextually relevant data. RAG leverages vector databases like Shapelets VectorDB to efficiently retrieve and manage data as numerical vectors, allowing LLMs to generate precise and current responses. Shapelets VectorDB ensures fast retrieval, semantic search capabilities, and robust security, making RAG a powerful tool for intelligent content creation and effective decision-making in businesses.

Cool UI for your project in minutes!

Cool UI for your project in minutes!

Create professional interfaces for your machine learning models effortlessly with Shapelets Platform. This tool allows you to design elegant, user-friendly web interfaces with minimal code, letting you focus on your model while Shapelets handles the rest.

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