railway IoT
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Text-to-SQL Agent for Railway IoT Logs with Llama-3-70B
Read Full Article: Text-to-SQL Agent for Railway IoT Logs with Llama-3-70B
A new Text-to-SQL agent has been developed to assist non-technical railway managers in querying fault detection logs without needing to write SQL. Utilizing the Llama-3-70B model via Groq for fast processing, the system achieves sub-1.2 second latency and 96% accuracy by implementing strict schema binding and a custom 'Bouncer' guardrail. This approach prevents hallucinations and dangerous queries by injecting a specific SQLite schema into the system prompt and using a pre-execution Python layer to block destructive commands. This matters because it enhances the accessibility and safety of data querying for non-technical users in the railway industry.
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