3 Advanced Document Retrieval Techniques To Improve RAG Systems | by Ahmed Besbes | Towards Data Science
Have you ever observed that documents retrieved by RAG systems may not always align with the user’s query? This is a common occurrence, particularly with off-the-shelf RAG implementations. Documents may lack complete answers to the query, contain redundant information, or include irrelevant details. Furthermore, the order in which these documents are presented may not consistently match the user’s intent. In this post, we will explore three effective techniques to enhance document retrieval in RAG-based applications: By incorporating these techniques, you can retrieve more pertinent documents that closely match the user’s query, thereby increasing the impact of the generated answer. Let’s have a look 👇. If you’re interested in ML content, detailed tutorials and practical tips from the industry, follow my newsletter. It’s called The Tech Buffet. thetechbuffet.substack.com Query expansion refers to a set of techniques that rephrase the original query. Two popular methods that are easy t
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