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Query Rewriting, Expansion and HyDE

Users do not write queries that look like the documents that answer them. Query rewriting closes that gap before retrieval runs: resolving pronouns from the conversation, expanding jargon, splitting a compound question, or generating a hypothetical answer to search with instead of the question.

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RELATED CONCEPTS

Retrieval-Augmented Generation (RAG)Hybrid Search (Lexical + Vector)Reranking and Two-Stage Retrieval Chunking Strategies Embeddings & Vector Representations

LESSONS THAT TEACH THIS

Foundations of Forward Deployed EngineeringWhen an AI feature gives a wrong answer, retrieval is usually the reason13 min→

PRACTICE THIS IN REAL QUESTIONS

RAG & Agent System DesignWalk me through a RAG pipeline end-to-end, and tell me where it usually breaks→RAG & Agent System DesignHow would you chunk documents for retrieval, and how do you know your chunking is good?→RAG & Agent System DesignKeyword search vs vector search: what does each actually buy you in a RAG system?→LLM & GenAI FundamentalsWhat are embeddings, and how do they make semantic search work?→RAG & Agent System DesignHow would you evaluate a RAG system before letting a customer launch it?→LLM & GenAI FundamentalsWhy is the dot product the similarity score in attention and embeddings, and when should you normalize to cosine?→