The Complete RAG Playbook (Part 2): Techniques That Improve Accuracy
Last Updated on January 2, 2026 by Editorial Team
Author(s): Ravi Kumar Verma
Originally published on Towards AI.
The Complete RAG Playbook (Part 2): Techniques That Improve Accuracy
Remember the RAG pipeline we built in Part 1? It worked — but if you ran it on real documents, you probably noticed the cracks almost immediately.
This part discusses various techniques aimed at enhancing the accuracy, relevance, and reliability of a retrieval-augmented generation (RAG) system. It highlights specific methods such as improving chunking for better text segmentation, using contextual information to enrich retrieval, and methods for effectively handling user queries to achieve more precise results. The article emphasizes the importance of modularity in implementation, encouraging users to combine these techniques based on their specific needs and challenges faced in their systems.
Read the full blog for free on Medium.
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