Aug 8, 2025 路 6 min read 路 In the last Query Translation in RAG: 5 Powerful Techniques to Improve Retrieval Accuracy article we briefly discussed about the Parallel Query Retrieval technique. In this article we will go in depth of parallel query retrieval. We will write a code...
Join discussion
Jun 26, 2025 路 3 min read 路 馃摉Introduction This article is part of the Advance RAG Series, an article series which covers various tenets and features of Advance RAG Systems along with diagrams and code. In this article an intuitive Query Translation Method will be explained thr...
Join discussion
Jun 24, 2025 路 7 min read 路 INTRODUCTION RAG, or Retrieval-Augmented Generation, is an AI framework that combines the strengths of traditional information retrieval systems with the abilities of generative large language models (LLMs). It lets LLMs use and include current, exte...
Join discussion
Jun 14, 2025 路 4 min read 路 Retrieval-Augmented Generation (RAG) has become a powerful strategy to enhance the capabilities of large language models (LLMs). But while RAG solves a lot of problems around hallucination and grounding, it's not without its own limitations. In this ...
Join discussion
Jun 9, 2025 路 4 min read 路 Hey everyone! I鈥檓 just starting my journey into Generative AI and stumbled across something cool: Parallel Query Retrieval. It's an easy hack to make RAG systems smarter鈥攁nd I want to share it in a friendly, beginner way. 1. What鈥檚 Query Transformati...
Join discussionMay 20, 2025 路 8 min read 路 You might have come across this popular reel where Virat Kohli talks about Rohit Sharma鈥檚 lazy communication style. I will describe this in English so that non Hindi speaking audience can understand. Fair warning, my mediocre English can鈥檛 j...
Join discussion
Apr 27, 2025 路 6 min read 路 Retrieval-Augmented Generation (RAG) has become a powerful tool in AI. If you鈥檙e already familiar with how it works, let鈥檚 take a deeper dive into some advanced techniques and see how we can optimize the responses generated through RAG. [ Article ] ...
Join discussion
Apr 23, 2025 路 16 min read 路 Query Translation or transformation is a crucial component of Retrieval-Augmented Generation(RAG), often sitting between the raw user query and the retrieval step. Its goal is to improve the quality of retrieval by ensuring that the search query bett...
Join discussionApr 23, 2025 路 13 min read 路 If you're new to Retrieval-Augmented Generation (RAG), it's highly recommended to start with the fundamentals first. In my Introduction to RAG, I cover the core concepts, workflow, and basic implementation patterns. This article builds upon that foun...
Join discussion
Apr 23, 2025 路 6 min read 路 What is Parallel Query Retrieval? Traditional RAG systems use a single query to retrieve documents, which can overlook subtle nuances in a question. Parallel Query Retrieval improves this by: Creating multiple rephrasings of the user鈥檚 query. Retri...
Join discussion