How RAG connects to embeddings, vector databases, LLMs and fine-tuning: a concept map
When learning RAG, the relationships can be harder to place than the individual definitions. This small concept map separates three 'uses' relationships from a comparison: - RAG can use embeddings to represent information for semantic retrieval. - A vector database can support storing and retrievin…
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- 2026-10-16 13:47 · r/learnmachinelearning
How RAG connects to embeddings, vector databases, LLMs and fine-tuning: a concept map