--- title: "The evolution of agentic AI and text-to-SQL" url: https://daily.dev/posts/the-evolution-of-agentic-ai-and-text-to-sql-95le3ea3l source_url: https://developers.redhat.com/articles/2026/06/16/evolution-agentic-ai-and-text-sql type: article source: "Red Hat Developer" published: 2026-06-16T07:38:43.052Z updated: 2026-06-16T07:39:05.185Z tags: ["llm", "mcp", "rag", "agentic-ai"] reading_time: 11 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # The evolution of agentic AI and text-to-SQL **[Red Hat Developer](https://daily.dev/sources/rhdev)** · 11 min read · 0 upvotes · 0 comments ## Summary A deep dive into how agentic AI systems improve upon traditional text-to-SQL approaches. Covers the spectrum from direct chat and RAG to fully agentic LLM systems, explaining how LLMs solve long-standing schema-linking problems without schema-specific training. Includes a historical table tracing text-to-SQL research from 1982 grammar-based systems through deep neural networks to modern LLM agents. Also discusses evaluation using Spider and Spider 2 benchmarks, practical limitations (latency, complex schemas, transactional locking), and how Red Hat OpenShift AI with EDB's PG Airman MCP server implements conversational analytics. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Deploy secure agentic AI: Protocols and performance tuning](https://daily.dev/posts/deploy-secure-agentic-ai-protocols-and-performance-tuning-85q1rgxxc) · Red Hat Developer · 0 upvotes · 0 comments --- Tags: [#llm](https://daily.dev/tags/llm), [#mcp](https://daily.dev/tags/mcp), [#rag](https://daily.dev/tags/rag), [#agentic-ai](https://daily.dev/tags/agentic-ai) [View this post on daily.dev](https://daily.dev/posts/the-evolution-of-agentic-ai-and-text-to-sql-95le3ea3l)