Building Natural Language and LLM Pipelines

6

Building Reproducible and Production-Ready RAG Systems

In the preceding chapters, we embarked on a practical journey to master the Haystack framework. In Chapter 4, we assembled predefined Haystack components into powerful, end-to-end pipelines, building both a naive and an advanced hybrid RAG system. Following that, Chapter 5 marked a critical transition in proficiency. We evolved from being a user of the framework to an architect capable of extending it, crafting custom components to generate a high-quality, graph-based synthetic test dataset from our documents.

A functional pipeline, however, is merely the halfway point. To construct a production-grade application, we must move beyond anecdotal spot-checking and "it works on my machine ...