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

What are best practices for Semantic Search in RAG Pipelines

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When working with Semantic Search in RAG Pipelines, start with a clear goal, test on real data early, keep the approach as simple as possible at first, and follow established practices from the AI community rather than guessing.

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