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Langgraph sql agent github. py # Defines the agent's state ├── prompts.

  • Langgraph sql agent github. Why It's a Valuable LangGraph Example This implementation serves as an excellent case study for LangGraph users by demonstrating: Integration of diverse AI agent types within a unified framework Feb 4, 2025 · In Part II, we built a LangGraph-based AI agent that translates natural language queries into SQL (Text-to-SQL agent), executes them, and retrieves the results. This project demonstrates a simple yet powerful way to interact with SQL databases through a conversational interface. SQL AGENT - HELP IN ESTABLISHING CONNECTION WITH DATABASE AND RETRIEVE DATA FROM IT ACCORDING TO THE USER INPUT. Jun 28, 2024 · Hello, thanks for this amazing explanation. It leverages langgraph for state management and OpenAI's GPT for intelligent query generation and response formatting. Dec 9, 2024 · Today, we’ll explore how to create a sophisticated SQL agent using LangGraph, a powerful library for building complex AI workflows. Contribute to PradipNichite/Youtube-Tutorials development by creating an account on GitHub. The agent generates a SQL query based on the user's question, executes it on the database, and formats the 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). ipynb. May 21, 2024 · I am trying to set up a react sql agent to work together with a chart_generator agent. Compared to other LLM frameworks, it offers these core benefits: cycles, controllability, and persistence. Build resilient language agents as graphs. It includes a LangGraph agent, a FastAPI service to serve it, a client to interact with the service, and a Streamlit app that uses the client to provide a chat interface. 🧠 Use this repo as a skeleton to quickly build your own LangGraph agent with MCP tools! About SQL BI Agent is a Streamlit app that allows users to ask natural language questions about their BigQuery data and instantly receive SQL queries with visualizations. Contribute to eswarmaganti/langgraph-sql-agent development by creating an account on GitHub. 5. Around the LangGraph agent, the workflow uses a SQLite Server that supports file (SQLite and CSV) uploads under 1MB and a front-end that has prebuilt graph templates SQL-Agent-LangGraph. Below is my query_gen_system llm prompt for generating the SQL statement. Data structures and settings are youtubelive / sql_agent_langgraph_final. (Chroma also supports default built-in text embedding model which is SentenceTransformer all-MiniLM-L6-v2 model. May 6, 2025 · It leverages a combination of: LangGraph: For orchestrating multi-step agent logic. SQL_Agent A custom SQL agent built using Langgraph that can query a database to perform actions on it and has a human in the loop mechanism which always asks the user for approval or feedback to fix the query before executing it. May 22, 2025 · 构建 SQL 代理（Build a SQL agent） 在本教程中，我们将逐步介绍如何构建一个能够回答 SQL 数据库相关问题的代理。 从高层次来看，该代理将执行以下操作： 从数据库中获取可用表 决定哪些表与问题相关 获取相关表的模式（schema） 根据问题和模式信息生成查询 使用 LLM 双重检查查询是否存在常见错误 Azure SQL DB, Langchain, LangGraph and Chainlit Sample RAG pattern using Azure SQL DB, Langchain and Chainlit as demonstrated in the #RAGHack conference. Jul 4, 2025 · Example Code from langchain_openai import AzureChatOpenAI from langgraph_supervisor import create_supervisor from langchain_community. A step-by-step implementation of a sophisticated chatbot built with LangGraph, demonstrating the power of stateful multi-agent applications. This repository contains a SQL Agent that converts natural language questions into SQL queries, executes the queries on a MySQL database (can be used on any database), and provides human-readable responses. ) LLM: OpenAI gpt-3. 1 open source model using Groq API. Apr 26, 2025 · LangGraph is a library for building stateful, multi-actor applications with LLMs, used to create agent and multi-agent workflows. 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. FastAPI LangGraph Agent Template A production-ready FastAPI template for building AI agent applications with LangGraph integration. Contribute to roshnipal2819/SQL-Agent-LangGraph development by creating an account on GitHub. Mar 22, 2025 · Contribute to uppalurusub/LangGraph development by creating an account on GitHub. The API receives a user query, processes it with a database agent, and returns the result. These tools are divided into safe and sensitive categories. Streamlit Text to SQL Agentic ChatBot app built with langgraph workflow : Workflow : LangGraph Workflow with text-to-query, sqlite, and memory & session management Inference & LLM : Groq Inference, Model : llama3. It uses LangGraph workflows, LLM-based query generation, and automatic validation to ensure accurate results. 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. Any LLM can be used instead of ChatGPT. py # Orchestrates the main workflow README. SQLite is a lightweight database that is easy to set up and use. The agent can interact with SQL databases using natural language queries, provide answers based on database content, and generate visual representations of the data A full toolkit for running an AI agent service built with LangGraph, FastAPI and Streamlit. LangChain: For creating SQL agents and handling database toolkits. Got: Sep 21, 2023 · To add memory to the SQL agent in LangChain, you can use the save_context method of the ConversationBufferMemory class. 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。 In this tutorial, we will create an SQLite database. For Contribute to Dalbirsm03/LangGraph-SQL-Agent development by creating an account on 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. In this Blog we will build a multi AI agent with RAG using Langraph and AstraDB with integration with the Llama 3. io Contribute to gnserafim/langgraph-sql-db-agent development by creating an account on GitHub. Chroma is used as a vector database. This is a minimal, functional example of an agent powered by LangGraph with tools implemented using MCP (Model Context Protocol) servers instead of traditional LangChain tools. The agent A fullstack AI agent platform built with React and LangGraph, featuring multiple specialized agents, real-time activity tracking, and MCP tool integrations for advanced conversational AI workflows Contribute to 250519/SQL-Agent---LangGraph development by creating an account on GitHub. g. 🚀 Comprehensive LangGraph learning repository with hands-on examples, and practical implementations. Jan 8, 2024 · LangGraph-financial-agent. ) LangGraph Agent Template is a production-ready boilerplate designed to help you quickly build and deploy AI agents using the LangGraph framework. Contribute to prthm2910/SQL-Agent development by creating an account on GitHub. It comes pre-configured with Dockerized infrastructure, including PostgreSQL for state and history storage and Qdrant as a vector database for semantic search and retrieval. Agent that can query SQL databases . A proof-of-concept SQL Agent utilizing LangGraph, a relatively new extension to Langchain. It's based on the official LangGraph tutorial, adapted to demonstrate how to integrate MCP servers as tools. Sep 24, 2024 · Hello everyone , I'm working on a project that is built on Langgraph's multi-agent system ( Hierarchical architecture ) . Master stateful multi-agent applications, RAG systems, SQL agents, custom tools, and debugging t Aug 2, 2024 · I am following the SQLAgent tutorial from Langgraph and adding RAG to it. The experiment leverage CrewAI, AutoGen and LangChain - LangGraph frameworks to build the agentic RAG pipeline. LangGraph ReAct Agent Template This template showcases a ReAct agent implemented using LangGraph, designed for LangGraph Studio. Many organizations are actively exploring single-agent and multi-agentic flows to streamline The workflow is orchestrated using LangGraph, which provides a framework for easily building complex AI agents, a streaming API for real-time updates, and a visual studio for monitoring and experimenting with the agent's behavior. The sample is build using plain LangChain (app. This In this tutorial, you will build an AI agent that can execute and generate Python and SQL queries for your custom SQLite database. OpenAI LLMs: Used via ChatOpenAI to interpret user intent and generate SQL queries. My multi-agent system is derived from here : https://langchain-ai. 2 3b With the growing demand for AI-powered agents capable of interacting with databases, Text2SQL Agents have become essential for enterprises seeking natural language interfaces for querying structured data. . I am using langgraph SQL Agent Notebook and customized as per my need. Contribute to mohdvasm/langgraph-sql-agent-customization development by creating an account on GitHub. GitHub Gist: instantly share code, notes, and snippets. agent_toolkits import create_sql_agent from langchain_community. The agent (an LLM) first determines whether to call a tool; if needed, it invokes the tool and uses its output, otherwise it responds directly. Full details and video recording available here: RAG on Azure SQL Server. Jun 29, 2024 · SQL Agent - Langgraph - python #130369 Closed Answered by CodeCandyCelvin MatrixChess asked this question in Programming Help MatrixChess sql_agent_with_langgraph. LangGraph Smart Agent for Network Operations This project demonstrates a sophisticated AI agent built with LangGraph that can answer questions about a network operations database. This project is a Proof of Concept (POC) demonstrating the integration of LangGraph with a SQL database agent. utilities. Post from LangChain with code for Text to SQL using Mistral AI, Neon… Jul 9, 2025 · Describe the bug: On the [Examples] (https://langchain-ai. Contribute to mickgian/Base-FastAPI-LangGraph-Agent development by creating an account on GitHub. - tooniez/pydanticai-langgraph Contribute to aritrasen87/LLM_RAG_Model_Deployment development by creating an account on GitHub. Your agent will be built from scratch by using LangGraph and the Mistral Medium 3 large language model (LLM) with watsonx. Jul 22, 2024 · Adaptive Workflow: Showcases LangGraph's dynamic routing capabilities, adjusting the analysis approach based on the data and task at hand. It enables users to query an SQLite database using natural language, dynamically converting the query into SQL using a custom agent workflow. An interactive agent built using LangGraph, powered by the Mistral-3. The goal is to create a retrieval-augmented generation (RAG) pipeline that leverages Llama as the large language model (LLM) agent to intelligently answer user queries. 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. SQL Agent A multi-agent system that transforms natural language questions into robust SQL queries, executes them, and returns structured answers. It utilizes OpenAI’s ChatGPT, LangChain, and SQLAlchemy to interpret natural language inputs and interact with a database. 设置. This template provides a robust foundation for building scalable, secure, and maintainable AI agen This project implements a Virtual Sales Agent that simulates customer interactions, providing information and support through a Streamlit interface. This method allows you to save the context of a conversation, which can be used to respond to queries, retain history, and remember context for subsequent queries. py # Manages prompt templates ├── config. LangGraph provides a more intuitive framework to implement agent workflows than standard Langchain. My current approach involves using the SQL agent with Langraph. To enable the agent to function end LangGraph SQL Agent. . LangGraph agent template with MCP. py # Defines workflow nodes for LangGraph ├── workflow. It converts user queries into SQL, checks and corrects them, executes them, and returns accurate answers based on database contents. Contribute to sunnysavita10/LangGraph-End-to-End-Course development by creating an account on GitHub. It uses LangGraph to define an agentic workflow that processes natural language questions, converts them to SQL, and returns meaningful results with visualizations. Spider dataset is used to test the pipeline. py # Implements safety checks ├── nodes. langsmith-cookbook / testing-examples / agent-evals-with-langgraph / langgraph_sql_agent_eval. is pretty important Use Langgraph to create a sql agent. This tool takes a user-uploaded CSV and answers natural language questions by generating and executing SQL queries — all within a few seconds. This agent leverages generative AI to: Contribute to imanoop7/SQL-Agent-Using-Langgraph development by creating an account on GitHub. 2-24B model via OpenRouter. For this tutorial, we will load the Chinook sample database, which represents a LangChain / LangGraph SQL Agent Demo This repository demonstrates the use of LangChain and LangGraph for SQL query generation, execution and validation. This tool extracts the table names and database metadata given the context, but the generated query isn’t always Build resilient language agents as graphs. When clicked, it leads to a 404 page. I'm trying to convert this sql agent to gemini llm and BigQuery but in the following step I'm receiving an error: query_check_system = """You are a SQL expert with a strong attention to detail. May 22, 2024 · The customer service bot tutorial queries a database. LLM bot with SQL agent. io/langgraph/examples/) section of the LangGraph documentation, the SQL Agent link is broken. Sky-River-ai / LangGraph-SQL-Agent Public Notifications You must be signed in to change notification settings Fork 0 Star 0 0 0 0 Feb 28, 2025 · This section explains how to create a simple ReAct agent app (e. Contribute to divyansh89532/SQL-Agent-Langgraph development by creating an account on GitHub. Contribute to langchain-ai/langgraph development by creating an account on GitHub. Contribute to pareshppp/sql_agent_langgraph development by creating an account on GitHub. sql_database import SQLDatabase import sqlite3 from pathlib import Path language_model = AzureChatOpenAI ( . py) to define the RAG process. ReAct agents are uncomplicated, prototypical agents that can be flexibly extended to many tools. LangGraph NodeTool SQL Agent A simple Flask API for querying a database using natural language. ai. This agent helps MongoDB for efficient retrieval in natural language. Build resilient language agents as graphs. Using the power of LangChain, LangGraph, and a SQLite database, this agent can answer product questions, create orders, check order statuses, and offer personalized recommendations. This agent will be capable of understanding questions 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 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. A production-ready FastAPI template for building AI agent applications with LangGraph integration. github. py # Defines the agent's state ├── prompts. ipynb youtubelive / sql_agent_with_langgraph. to check the weather) using LangGraph’s prebuilt ReAct agent. 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. In general you can interact with a DB in two ways: Define functions as tools that expose specific queries the agent can make Define a DB tool that lets the agent write the actual sql query In either case, including examples in the docstrings about the schema, etc. It leverages a hybrid Retrieval-Augmented Generation (RAG) + Text-to-SQL architecture to provide accurate, real-time answers from a live PostgreSQL database. Archon is an AI agent that is able to create other AI agents using an advanced agentic coding workflow and framework knowledge base to unlock a new frontier of automated agents. Contribute to SominZex/LangGraph-sql-agent development by creating an account on 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. This template provides a robust foundation for building scalable, secure, and maintainable AI agent services. Text embedding model: gte-large-en-v1. Contribute to Sky-River-ai/LangGraph-SQL-Agent development by creating an account on GitHub. The sql-agent tutorial and other SQL agent architectures that I've found do not really understand how schema in a relational database are associated, so they are generally terrible at query tasks that require table joins. I am using e-commerce data where Superstore_Customer Mar 9, 2011 · About AI Agent RAG & SQL Chatbot enables natural language interaction with SQL databases, CSV files, and unstructured data (PDFs, text, vector DBs) using LLMs, LangChain, LangGraph, and LangSmith for retrieval and response generation, accessible via a Gradio UI, with LangSmith monitoring. ipynb Cannot retrieve latest commit at this time. The idea is that the user nows the type of information in the DB and instead of using SQL, NoSQL queries, asks agent in natural language, than the agent does the search. Feb 1, 2025 · In this article, we’ll explore how to build an intelligent SQL/BI agent using LangGraph, Vertex AI Agent Builder, and LangChain. This project demonstrates the power of LangGraph and LangChain for building an intelligent SQL agent with visualization capabilities. py # Contains utility functions and tools ├── guardrails. This repository implements an end-to-end workflow for handling complex database queries using LangGraph as an orchestrator of multiple specialised modules (aka “agents”). Use Langgraph to create a sql agent. FAISS-based Vector Store: Stores and retrieves semantic memory to provide historical context. Multi-Agent Chatbot with LangGraph and Azure Services A sophisticated chatbot implementation that uses multiple specialized agents to process queries through different search and processing methods, powered by Azure OpenAI, Azure AI Search, and Azure SQL Database. This will start the LangGraph Studio interface where you can interact with and debug your text-to-SQL agent This project is an SQL Query Assistant that automates the process of generating, executing, and explaining SQL queries using a combination of a Graph-based Workflow and a Large Language Model (LLM). py) or using LangGraph (app-langgraph. May 30, 2024 · In this blog post, we’ll introduce a simple tool created with LangGraph, designed to generate SQL validation rules that help detect errors in table columns on any relational database. Contribute to prsdm/langgraph-mcp development by creating an account on GitHub. py # Handles configuration and initialization ├── tools. AgentGraph: Intelligent SQL-agent Q&A and RAG System for Chatting with Multiple Databases - Navdeet/Airline-Flight-Assistant-Applications-using-RAG-Langchain-LangGraph- Jun 27, 2024 · Text to SQL is one the many LLM use cases that is getting attention. Contribute to agola11/lg-sql-agent development by creating an account on GitHub. 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 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. md Advanced SQL Agent API This Flask-based API provides Advanced SQL query analysis and visualization services using LangChain and LangGraph. 5-turbo The experiment runs This project implements a natural language to SQL query system for a PostgreSQL database containing the Pagila/IMDB dataset. Exploring multi-agent systems with LangGraph, LangChain, and a vector database. Users can upload a SQLite database or CSV file and ask questions about the data in natural language. LangGraph is a powerful tool designed to manage the LLM agents by inroducing graph structure between different stages (Nodes) of the pipeline. Built with LangGraph, LangChain, and Streamlit, the system allows users to chat with any SQL database, providing intuitive query generation and database exploration capabilities Feb 21, 2025 · """ project/ │ ├── state. ldxl kktcwvjmx rzi mizolnn xlr nzm blpbe hwsijs ltpw vujxk