A Triple Store RAG Retriever
https://www.semanticpartners.com/post/a-triple-store-rag-retriever
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In its basic form, RAG is composed of a system prompt (the general instruction for the LLM), a user query, and a retriever able to find relevant content to add to the prompt. The retriever will have to find content starting from the user prompt, and the way to make that possible is to embed the textual descriptions of our graph entities (nodes and properties).