<ul><li>This agent uses a ReAct approach, which stands for 'Reasoning and Acting.' The agent understands the natural language query, analyzes the database schema, and decides which tool to call.</li><li>The agent executes the tool to transform the query into SQL, runs it, and retrieves the necessary data.</li><li>If the user's query is successfully answered, the agent returns the answer in natural language.</li><li>The solution combines Meta's Llama 3 as the large language model with Hugging Face's Transformers library, providing flexibility and customization for different databases and use cases.</li></ul>

Building an Open-Source Text2SQL Agent with Llama 3 and Hugging Face Transformers

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