Why Is Building a Good RAG System So Hard?

Retrieval Augmented Generation (RAG) is transforming how enterprises build AI search and assistants, but building a high-quality RAG system isn’t simple.

Companies must figure out how to:
• Break large documents into meaningful chunks
• Choose the right embedding strategy
• Optimize vector search retrieval

Without the right platform support, even a 500-page policy document can become impossible for AI to search effectively.

This clip explains why RAG optimization is one of the biggest challenges in enterprise AI today.

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Видео Why Is Building a Good RAG System So Hard? канала Kore.ai