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How to Implement Contextual Embeddings for RAG · RAG for Real-World AI Applications
Lesson 28 of 30 in RAG for Real-World AI Applications. Plus opens every course and every lesson, and new ones as they ship.
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How to Implement Contextual Embeddings for RAG
In this lesson, learn how to generate contextual embeddings for improved retrieval in RAG pipelines. Contextual retrieval situates document chunks within their documents context by using an LLM before the embedding step to generate a document summary prefix to the chunk.
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