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Turn Llama 3 into an Embedding Model with LLM2Vec
RAG with Llama 3 for the generation and the retrieval Benjamin Marie · Follow Published in Towards Data Science · 7 min read · 7 hours ago — Generated with DALL-E The embedding model is a critical component of retrieval-augmented generation (RAG) for large language models (LLMs). They encode the knowledge base and the query written by the user. Using an embedding model trained or fine-tuned for the same domain as the LLM can…