The Complete RAG Playbook (Part 2): Techniques That Improve Accuracy

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. Image by author using GeminiThis 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. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor. Published via Towards AI