How to Improve Your RAG Pipeline with Fine-Tuned Embedding Models
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Good morning everyone!
Before we start this iteration, I just want to make sure you read this one past the video, as we have a nice black Friday deal for you!
Today, we dive into an important part of the Retrieval-Augmented Generation (RAG) pipeline: the embedding model.
All the data you have will be entered into embeddings, which we’ll then use to retrieve information.
So it’s quite important to understand embedding models.
Let’s dive into this crucial part of the pipeline, how to fine-tune them, and why that’s important!
Watch the video (or read the written article):
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Louis-François Bouchard