How do you handle structured data like tables and SQL in RAG?
LLM Engineer Interview Questions: Advanced RAG Techniques — Self-RAG, GraphRAG, Agentic RAG
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How do you handle structured data like tables and SQL in RAG?
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For structured data, vector embeddings often work poorly because exact values matter. Better approaches include text-to-SQL where the LLM writes a SQL query to your database, table extraction with specialized retrievers, and serializing rows as natural language statements before embedding. Hybrid systems often route queries to structured or unstructured retrieval based on query type.
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