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The State of RAG in 2025: What's Changed
RAG architectures have evolved significantly - from simple vector search to sophisticated multi-stage retrieval pipelines.
2025-10-25
RAG (Retrieval-Augmented Generation) has evolved from simple vector similarity search to sophisticated multi-stage retrieval systems. Modern RAG architectures include: hybrid search (combining semantic and keyword search), re-ranking stages that improve relevance, agentic RAG where the model decides what to retrieve, and graph-based RAG that follows relationships between documents. The biggest challenge remains evaluation - measuring whether retrieved context actually improves answer quality.