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RAG Systems and Document Limits: Is There a Ceiling?

June 9, 2025 · Nina Kimes · 3 min read

Retrieval Augmented Generation (RAG) offers a powerful way to enhance large language models (LLMs) by providing them with external information. This approach directly addresses questions about context window limitations and the number of documents a system can handle. A frequent question for developers and businesses building AI applications is whether a practical limit exists for the number of documents RAG can search.