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Let's tune RAG pipelines with Fondant

Retrieval Augmented Generation (RAG) has quickly become the go-to architecture for providing large language models (LLM) with specific knowledge. Optimizing a custom setup requires days to find the right set of parameters and system configuration.

We have created an example use case to show how you can enhance your RAG setup by using Fondant. Checkout out the resources: