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Apr 23, 2025 · 3 min read · Chain of Thought technique actually breaks down user query into simpler sub-queries, and process them Sequentially , providing previous query output as context to next query processing , which results in getting better Response at End. Chain of Tho...
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Apr 23, 2025 · 4 min read · Reciprocal Rank Fusion is similar to Parallel Query Retrieval , just after retrieving instead of simply finding Unique Documents, we find their Ranks based on Frequency and Order , that’s how we get even more Relevant Context for User Query . Recip...
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Apr 22, 2025 · 3 min read · HyDE generates a hypothetical document ( based on Pre-Trained Knowledge of LLM ), from User Query, then instead of creating vector embeddings of user query and search in our vector database, it creates embeddings of that hypothetical Document , and f...
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Apr 22, 2025 · 7 min read · In Retrieval-Augmented Generation, success depends on more than just good data — it’s about choosing the smartest routes for storage, search, and retrieval. Every step, from indexing information to delivering answers, can be optimized. Query Routing ...
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Apr 21, 2025 · 3 min read · Parallel Query Retrieval process multiple similar queries at once ( Parallelly ), increasing the context , and improving the chances of finding the more Relevant Context for user Query , resulting in more Accurate Response . Below, first image shows ...
DRonak commented
