Llm sql agent tutorial. In this tutorial, you will build an AI agent that can execute and generate Python and SQL queries for your custom SQLite database. In this cookbook, we will walk through how to build an agent that can answer questions about a SQL database. Simple prompts suffice for basic SQL, but complex joins and logic require detailed prompts, iterative feedback, and error handling. Mar 10, 2025 · We will explain how to implement an SQL Agent using LangChain, OpenAI API, and DuckDB , and how to turn it into an application with Morph . This project demonstrates a simple yet powerful way to interact with SQL databases through a conversational interface. Aug 21, 2023 · In this tutorial, we will walk through step-by-step, the creation of a LangChain enabled, large language model (LLM) driven, agent that can use a SQL database to answer questions. This is often achieved via tool-calling. This app will generate SQL queries using an LLM, execute them in DuckDB, and use the results to answer user questions. These systems will allow us to ask a question about the data in a database and get back a natural language answer. In this video, I show you how to set up Anything LLM locally and demonstrate using custom-built agents with various models. The tutorial covers the entire process from setting up the local environment to crafting an agent that can interpret questions and generate SQL queries in return. Today, we’ll explore how to create a sophisticated SQL agent… Jun 17, 2025 · Build an Agent LangChain supports the creation of agents, or systems that use LLMs as reasoning engines to determine which actions to take and the inputs necessary to perform the action. Your agent will be built from scratch by using LangGraph and the Mistral Medium 3 large language model (LLM). In this guide we'll go over the basic ways to create a Q&A system over tabular data in databases. Dec 9, 2024 · In the world of AI and data analysis, the ability to interact with databases using natural language is becoming increasingly valuable. In this tutorial we Jun 21, 2023 · In our last blog post we discussed the topic of connecting a PostGres database to Large Language Model (LLM) and provided an example of how to use LangChain SQLChain to connect and ask questions Sep 10, 2024 · In this video, TheAILearner demonstrates how to build a SQL Agent using Langchain and the Llama 3 large language model (LLM) with the help of Ollama. After executing actions, the results can be fed back into the LLM to determine whether more actions are needed, or whether it is okay to finish. The video starts by introducing Ollama, a platform that facilitates the use of AI Dec 1, 2024 · By integrating a powerful Llama 3 model, SQL database tools, and agent-based automation, you’ll learn how to create a seamless pipeline for handling database queries, analyzing results, and LLM initialization and library import # To begin with, you need to set up a development environment by importing some necessary libraries and initializing the chat LLM you want to use to create the agent. The tutorial relies on the LLM Mesh for this and the Langchain package to orchestrate the process. We'll also show how to evaluate it in 3 different ways. Apr 26, 2025 · Creating accurate SQL queries with LLMs becomes challenging as query complexity increases. Built with LangGraph, LangChain, and Streamlit, the system allows users to chat with any SQL database, providing intuitive query generation and database exploration capabilities. Learn the step-by-step process to. We will cover implementations using both chains and agents. vqb xrqghxh akf icfwje jqtwtm zcens hank gxjw jjgrbm locu