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Core Concepts
Introduction to RAG
Importance of Good Embeddings
How Vectorboard Helps
Core Concepts
RAG
Core Concepts
Introduction to RAG
RAG, or Retrieval-Augmented Generation, is a methodology that enhances machine learning models by combining generative and retrieval-based aspects.
Importance of Good Embeddings
Good embeddings are vital for the successful execution of RAG applications. They serve as the basis for retrieving contextually relevant information.
How Vectorboard Helps
Vectorboard simplifies the complex task of optimizing these embeddings by providing a structured framework for running experiments.
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