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Apr 23, 2025 · 2 min read · Step-back prompting is a technique to improve RAG’s reasoning by rephrasing the user’s query in such a way it considers broader aspects before searching. By stepping back the model first potentially identifies the user’s true intent and fetches more ...
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Apr 23, 2025 · 4 min read · Overview After seeing the Parallel query Retrieval we see that we might end up with multiple documents as result of semantic search. Reciprocal Rank Fusion (RRF) provides a way to combine these lists that as rank label attached to it. Problem Here al...
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Apr 22, 2025 · 3 min read · Overview Query Translation is the first step in the advance RAG pipeline where the goal is to take user input and translate it such that it improves the searching process by eliminating the ambiguity in user query. Problem Statement Here the problem ...
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Apr 17, 2025 · 2 min read · What is RAG? RAG (Retrieval-Augmented Generation) is a technique that enhances Large Language Models (LLMs) by incorporating information from external sources. It enables the generation of more accurate and up-to-date responses by combining real-worl...
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Apr 8, 2025 · 3 min read · AI jargons may sound complicated like transformers, embeddings, tokenization and what not. Many of the terms I’ve never heard before. But now what if I tell you it’s a lot like making biryani😂? Let’s cook up some understanding and use our brain.exe....
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