7 RAG Tools to Make the Most Out of Your LLMs

Open source Retrieval-Augmented Generation (RAG) models are getting pretty big as the need for enhanced features in large language models becomes more important. So what are they? Well, the RAG models are a fusion of dense retrieval (DPR) and sequence-to-sequence models. They are designed to enhance the capabilities of LLMs by incorporating external knowledge. This is made possible by retrieving documents related to a query and using these documents as additional context for generating responses.

This process allows RAG models …

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