RAG stands for Retrieval-Augmented Generation, a technique used in AI and data retrieval to improve the efficiency and accuracy of large language models.
It involves retrieving relevant information from a database or knowledge graph to augment the generation of text, rather than relying solely on the model's internal knowledge.
This approach has shown promising results in various applications, including question answering, text summarization, and dialogue generation.
In essence, RAG helps AI models to "remember" and retrieve relevant information, making them more knowledgeable and informative in their responses.
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Note: For more information on AI and data retrieval, you can visit the INLEO.IO Documentation or explore the LeoGlossary for a comprehensive list of terms and concepts related to AI, blockchain, and Web3 technology.
What is the history of RAG?
Is there the potential to implement RAG with blockchain or are they incompatible?
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Would DAG implementation be built in the blockchains code base or is this a second layer that could be built?