Retrieval Augmented Generation (RAG) › Semantic Search in RAG Pipelines

What is Semantic Search in RAG Pipelines

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Answer

Semantic search in RAG pipelines is the process of finding relevant stored content based on meaning rather than exact keyword matches, using embeddings to measure similarity.

Real-world example Semantic search in a RAG pipeline can find a relevant refund policy document even if the user's question uses completely different wording than the document.

Common follow-ups: What is Retrieval Augmented Generation (RAG), How is Semantic Search in RAG Pipelines evaluated in practice, What tools are commonly used for Semantic Search in RAG Pipelines

Retrieval Augmented Generation (RAG) topics: Introduction to Retrieval Augmented Generation Vector Databases for RAG Embedding Models for Retrieval