Programming RAG Tricks

Direct Answer: Programming RAG tricks refer to the techniques used to improve the performance of Retrieval Augmented Generation models, but stacking these tricks can stop adding up due to limitations in the pipeline. Programming is a crucial aspect of RAG, as it involves the development and optimization of algorithms and models. In this article, we will explore the reasons behind this phenomenon and discuss ways to optimize your pipeline.

What breaks when the model touches the framebuffer

When working with RAG models, it's essential to understand the importance of precision and recall. BM25 and HyDE are popular techniques used to improve the performance of RAG models, but they can also introduce additional latency and hallucinations. For instance, reciprocal rank fusion reranking can improve the F1 score, but it may also increase the computational cost. Query expansion via HyDE can also improve the precision, but it may introduce additional noise in the system.

Four rules we use to prevent coordinate drift

To optimize your RAG pipeline, it's crucial to follow these four rules:

1. Start with a solid baseline: Use a robust dense embedding algorithm as the foundation of your pipeline.
2. Monitor your metrics: Keep a close eye on your precision, recall, and F1 score to ensure that your pipeline is performing optimally.
3. Optimize your latency: Minimize the latency introduced by additional techniques such as BM25 and HyDE.
4. Test and iterate: Continuously test and iterate on your pipeline to ensure that it's performing optimally.

Comparison of RAG Techniques