Turn Llama 3 into an Embedding Model with LLM2Vec

RAG with Llama 3 for the generation and the retrieval

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…