RAG with Llama 3 for the generation and the retrieval

Benjamin Marie

Towards Data Science

Turn Llama 3 into an Embedding Model with LLM2Vec - image  on https://aiquantumintelligence.com
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…

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