Enhancing AI with Real-World Knowledge

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Retrieval Augmented Generation (RAG)

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What Is It?

Enhancing AI with Real-World Knowledge

Retrieval Augmented Generation (RAG)

Supercharging LLMs!

What Is It?

Enhances Large Language Models (LLMs) with information retrieval

How it Works

LLMs use external knowledge for better, informed responses

Key Stages

Indexing data, retrieval, augmentation, and then the generation stage

Benefits

Improves accuracy, delivers up-to-date, contextually relevant information

Use Cases

Ideal for chatbots and Q&A systems needing current data

Reduces hallucinations and improves the trustworthiness of AI applications