Langgraph sql agent github. This agent will be capable of understanding questions.

Langgraph sql agent github. This guide explains how to set up PostgreSQL, create a project directory, build the database tables and import data, and run a LangGraph-based text-to-SQL AI agent. We'll use a LangGraph agent with access to a set of tools for working with SQL: We'll use SQL toolkit as well as some custom tools to check the query before executing it and check the query Dec 9, 2024 · Today, we’ll explore how to create a sophisticated SQL agent using LangGraph, a powerful library for building complex AI workflows. It enables users to query an SQLite database using natural language, dynamically converting the query into SQL using a custom agent workflow This project demonstrates an agentic AI system using LangGraph, LangChain, and GROQ’s LLaMA 3 model to interact with a SQLite database via natural language. This agent bridges the gap between natural language questions and data visualization, allowing users to questions about a dataset and receive insightful visual representations in response. Compared to other LLM frameworks, it offers these core benefits: cycles, controllability, and persistence. Users can upload a SQLite database or CSV file and ask questions about the data in natural language. md Advanced SQL Agent API This Flask-based API provides Advanced SQL query analysis and visualization services using LangChain and LangGraph. py # Implements safety checks ├── nodes. The idea is that we use RAG to fetch relevant DB table info and make the SQL agent job easier in finding the right table as 🚀 Comprehensive LangGraph learning repository with hands-on examples, and practical implementations. Contribute to langchain-ai/langgraph development by creating an account on GitHub. This agent will be capable of understanding questions Sep 12, 2024 · Let's explore an exciting project that leverages LangGraph Cloud's streaming API to create a data visualization agent. 设置. py # Defines workflow nodes for LangGraph ├── workflow. Master stateful multi-agent applications, RAG systems, SQL agents, custom tools, and debugging t langsmith-cookbook / testing-examples / agent-evals-with-langgraph / langgraph_sql_agent_eval. Feb 21, 2025 · """ project/ │ ├── state. The agent uses a Tavily-based language model client to convert natural language queries into SQL queries, executes them on a PostgreSQL database, and returns the results. 我们首先安装一些依赖项。 本教程使用 langchain-community 中的 SQL 数据库和工具抽象。 我们还需要一个 LangChain 聊天模型。 注册 LangSmith，以快速发现问题并提高您的 LangGraph 项目性能。 LangChain / LangGraph SQL Agent Demo This repository demonstrates the use of LangChain and LangGraph for SQL query generation, execution and validation. py # Handles configuration and initialization ├── tools. Built with LangGraph, LangChain, and Streamlit, the system allows users to chat with any SQL database, providing intuitive query generation and database exploration capabilities Mar 9, 2011 · AgentGraph: Intelligent SQL-agent Q&A and RAG System for Chatting with Multiple Databases This project demonstrates how to build an agentic system using Large Language Models (LLMs) that can interact with multiple databases and utilize various tools. py # Orchestrates the main workflow . py # Manages prompt templates ├── config. 在本教程中，我们将逐步介绍如何构建一个能够回答有关 SQL 数据库问题代理。 从高层次来看，该代理将： 构建 SQL 数据库的问答系统需要执行模型生成的 SQL 查询。 这样做存在固有风险。 请确保您的数据库连接权限始终尽可能狭窄地限制在代理的需求范围内。 这将减轻但不能消除构建模型驱动系统所带来的风险。 1. Apr 11, 2025 · Analyze the responses from sql_agent and propose a better query or changes in database schema to improve the performance of the query if needed (Do it yourself). py # Defines the agent's state ├── prompts. ipynb Cannot retrieve latest commit at this time. Apr 26, 2025 · LangGraph is a library for building stateful, multi-actor applications with LLMs, used to create agent and multi-agent workflows. The agent generates a SQL query based on the user's question, executes it on the database, and formats the Aug 2, 2024 · I am following the SQLAgent tutorial from Langgraph and adding RAG to it. The agent takes natural language questions from a user, converts them into syntactically correct SQL queries, executes them against a database, and returns the final answer. You can upload an SQLite database or CSV file, ask questions about your data, and the agent will generate appropriate visualizations. py # Contains utility functions and tools ├── guardrails. This project demonstrates a simple yet powerful way to interact with SQL databases through a conversational interface. This project is a Proof of Concept (POC) demonstrating the integration of LangGraph with a SQL database agent. This blog is a brief dive into the agent’s workflow and key features. README. Build resilient language agents as graphs. It converts user queries into SQL, checks and corrects them, executes them, and returns accurate answers based on database contents. pllpuq rtrctvn uaw wvcftfi ovt odj fsf rrhkdt nthbxl lkrrsu

26th Apr 2024