# How SkySQL uses LlamaIndex

As published on [llamaindex.ai](https://www.llamaindex.ai/customers/how-skysql-enables-smarter-text-to-sql-agents-with-llamaindex). Captured by usedby on 2026-10-07.

- Company: [SkySQL](https://www.usedby.ai/companies/skysql.md)
- Tool: [LlamaIndex](https://www.usedby.ai/tools/llamaindex.md)

## What the story says

SkySQL uses LlamaIndex as the core orchestration engine for its SkyAI agents, which turn natural language questions into SQL queries against customers' operational databases. It relies on agentic RAG pipelines and a structured query engine, and swapped its vector store from ChromaDB to MariaDB Vector with minimal code changes.

Summary written by usedby from the source page, in English. The figures are those of LlamaIndex and SkySQL, not ours.

> SkySQL uses LlamaIndex as the core orchestration engine for its SkyAI agents—backed by a carefully designed feedback loop between auto-generated context and human-guided refinement.

> LlamaIndex has been a game-changer for us, accelerating our AI agent development efforts, embedding reliable conversational interfaces directly within applications, and providing a flexible and scalable agentic framework.
>
> Jags Ramnarayan, Chief Technology Officer and Co-Founder

## What usedby checked

We compared the story with its live page on 2026-10-07.

- Checked: the passage quoted above is copied word for word from the page, near the name of SkySQL.
- Checked: SkySQL uses LlamaIndex. Confirmed line. Latest check across sources: 2026-10-07.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/skysql-llamaindex · How we check: https://www.usedby.ai/methodology