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Langgraph sql agent github. We'll also show how to evaluate it in 3 different ways.

  • Langgraph sql agent github. 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 # Manages prompt templates ├── config. py # Defines the agent's state ├── prompts. Deploy and scale with LangGraph Platform, with APIs for state management, a visual studio for debugging, and multiple deployment options. Contribute to langchain-ai/langgraph development by creating an account on GitHub. This tool extracts the table names and database metadata given the context, but the generated query isn’t always . md Advanced SQL Agent API This Flask-based API provides Advanced SQL query analysis and visualization services using LangChain and LangGraph. py # Defines workflow nodes for LangGraph ├── workflow. 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. My current approach involves using the SQL agent with Langraph. Build resilient language agents as graphs. prebuilt import create_react_agent system_prompt = """ You are an agent designed to interact with a SQL database. from langgraph. This project demonstrates a simple yet powerful way to interact with SQL databases through a conversational interface. 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 Dec 9, 2024 · Whether you’re a data scientist, a developer, or a business analyst, this SQL agent can significantly streamline your database interactions and make data more accessible to non-technical users. It leverages LangGraph and LangGraph Cloud. py # Contains utility functions and tools ├── guardrails. py # Implements safety checks ├── nodes. Apr 26, 2025 · LangGraph is a library for building stateful, multi-actor applications with LLMs, used to create agent and multi-agent workflows. Feb 21, 2025 · """ project/ │ ├── state. Built with LangGraph, LangChain, and Streamlit, the system allows users to chat with any SQL database, providing intuitive query generation and database exploration capabilities README. LangGraph 平台 — 使用专为长时间运行、有状态工作流设计的部署平台，轻松部署和扩展智能体。 在团队之间发现、重用、配置和共享智能体 — 并在 LangGraph Studio 中通过可视化原型快速迭代。 LangChain – 提供集成和可组合组件，以简化 LLM 应用程序开发。 LangGraph 是在 LangChain 基础上的一个库，是 LangChain 的 LangChain Expression Language （LCEL）的扩展。 能够利用有向无环图的方式，去协调多个LLM或者状态，使用起来比 LCEL 会复杂，但是逻辑会更清晰。 Trusted by companies shaping the future of agents – including Klarna, Replit, Elastic, and more – LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents. We'll also show how to evaluate it in 3 different ways. Master stateful multi-agent applications, RAG systems, SQL agents, custom tools, and debugging t 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. Key Links: YouTube Video GitHub Repo Hosted Application Let's explore an exciting project that leverages LangGraph Cloud's streaming API to create a data visualization agent. In this cookbook, we will walk through how to build an agent that can answer questions about a SQL database. 🚀 Comprehensive LangGraph learning repository with hands-on examples, and practical implementations. py # Handles configuration and initialization ├── tools. See our conceptual guide and agent tutorial for added context: Conceptual guide for evaluations Guide for agent evaluations Set up environment We'll set up our environment variables for OpenAI, and optionally, to enable tracing Sep 12, 2024 · It covers building a full stack application that uses an agent to both query data as well as choose how to display that data. py # Orchestrates the main workflow Mar 26, 2025 · The end user asks simple questions in English, and the system should create an SQL query based on the table names and column names in the database, which is MSSQL. Given an input question, create a syntactically correct {dialect} query to run, then look at the results of the query and return the answer. Feb 26, 2025 · LangGraph是 LangChain 生态系统中的一个新成员,它提供了一个基于图 (Graph)的框架来构建复杂的LLM应用。 通过将应用逻辑组织成有向图的形式,LangGraph使得构建复杂的对话流程变得更加直观和灵活。 LangGraph 快速入门：构建一个可以使用工具并跟踪对话历史记录的聊天机器人。 添加人工干预功能并探索时间旅行如何工作。 1 day ago · LangGraph框架详解：高效构建复杂智能体系统的核心技术。解析状态机引擎、节点设计、条件边等核心组件，提供生产环境最佳实践与性能对比。包含可视化调试、状态持久化、人工干预等实战技巧，助力开发者降低认知负荷，快速实现企业级Agent应用。 May 18, 2024 · LangGraph并非一个独立于Langchain的新框架，它是基于Langchain之上构建的一个扩展库，可以与Langchain现有的链、LCEL等无缝协作。 LangGraph 是由 LangChain 团队开发的开源 MIT 许可库，用于构建可状态化（stateful）、多智能体（multi-actor）应用的图模型编排框架。 3 days ago · Trusted by companies shaping the future of agents – including Klarna, Replit, Elastic, and more – LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents. Compared to other LLM frameworks, it offers these core benefits: cycles, controllability, and persistence. This project demonstrates a sophisticated, autonomous agent built with LangGraph and LangChain that can interact with a SQL database. Build controllable agents with LangGraph, our low-level agent orchestration framework. cuqne jevsn sbnwk qefpt uurrp kbfprsv gfi ttnpc chpfgij olipm