Langchain sqldatabasetoolkit. If you're just getting started with LangChain, take a look at this article with the related sample: LangChain Integration for Vector Support for SQL-based AI Enabling a LLM system to query structured data can be qualitatively different from unstructured text data. Method 1: Sep 7, 2024 · 文章浏览阅读1. chat_models import ChatOpenAI #record our code in our environment os. The Agent component of LangChain is a wrapper around LLM Sep 18, 2024 · By combining LangChain, GROQ, and Streamlit, we had this pushed AI SQL assistant offering pure language query answering again into your MySQL database. #12458 Nov 19, 2024 · In today’s data-driven world, the ability to seamlessly integrate various technologies is crucial for efficient data management and analysis. sql. 5) This is what my initial The app integrates with Langchain's SQL Database Toolkit to allow SQL queries through natural language. SQLDatabaseToolkit [source] # Bases: BaseToolkit SQLDatabaseToolkit for interacting with SQL databases. SQL Database ::: {. This notebook shows how to use agents to interact with Spark SQL. Retrieve the context and tools from the toolkit for further use in interactions with the database Apr 14, 2023 · SQLDatabaseToolkit is not currently working. SQLDatabaseToolkit [source] ¶ Bases: BaseToolkit Toolkit for interacting with SQL databases. toolkit import SQLDatabaseToolkit from Dec 13, 2024 · In this post, we’ll walk you through creating a LangChain agent that can understand questions in natural language (NLP), dynamically generate SQL queries based on your input, fetch results from Sep 22, 2023 · Does anybody knows how to add more custom-tools in the SQLDatabaseToolkit for the sql agent in langchain? Asked 1 year, 9 months ago Modified 1 year, 7 months ago Viewed 4k times Feb 9, 2024 · Image generated by DALL-E. sql_database import SQLDatabase from la SQL One of the most common types of databases that we can build Q&A systems for are SQL databases. sql_database import Mar 19, 2025 · Learn about LangChain's SQLDatabaseToolkit for NL-to-SQL queries and compare OpenAI and Ollama results, highlighting setup, examples, and tool performance. Se errors attached. Jun 20, 2024 · from langchain_community. llm: BaseLanguageModel The language model (for use with QuerySQLCheckerTool) Instantiate: . It makes it easier to query your DB in natural language, in the post we shall be seeing an example of connecting to a Postgres DB and query it. llms. sql_database import SQLDatabase from langchain. Bummer Different models have different prompt formats. agents import AgentExecutor from langchain. Jan 29, 2025 · LangChain’s SQLDatabaseToolkit is a powerful tool designed to integrate NL processing capabilities with Relational Database Systems. This article is the second and final part of a two-phase project that exploits RappelConso API data, a French public service that shares information about product recalls This example shows how to load and use an agent with a SQL toolkit. The notebook file used in this article is available on GitHub. 1: Use get_usable_table_names instead. sql. 本笔记本展示了一个与sql数据库交互的代理。该代理基于SQLDatabaseChain构建，并旨在回答有关数据库的更一般的问题，并从错误中恢复。 You have a few issues here: The LLM that is passed to the SQLDatabaseToolkit, unfortunately is only used to validate the sql query. """ from typing import Any, Dict, Optional, Sequence, Type, Union from sqlalchemy. ) LangChain提供SQL Chains和Agents，用于基于自然语言提示构建和运行SQL查询 Jan 20, 2025 · LangChain + OpenAI + Azure SQL. QuerySQLDatabaseTool [source] # Bases: BaseSQLDatabaseTool, BaseTool Tool for querying a SQL database. This system will allow us to ask a question about the data in an SQL database and… This project integrates LangChain with a PostgreSQL database to enable conversational interactions with the database. SQLDatabaseToolkit ¶ class langchain_community. Thanks System Info Windows 11 Jul 5, 2023 · I would like to use langchain with SQLDatabaseToolkit, create_pandas_dataframe_agent and PythonREPL for data analysis. A common application is to enable agents to answer questions using data in a relational database, potentially in an iterative fashion (e. Do you have a working approach for me? My approach isn't working # Ensure the Apr 13, 2025 · The SQL Database toolkit in LangChain enables seamless integration of SQL databases with large language models (LLMs). Here's a sample of my code from sqlalchemy import create_engine driver = '{ODBC Driver 17 for SQL Server}' odbc_str = 'ms This page contains a tutorial on how to build a SQL agent with Cohere and LangChain in the manufacturing industry. openai import OpenAI Sep 28, 2023 · Langchain is an open source framework for developing applications which can process natural language using LLMs (Large Language Models). callout-note} The SQLDatabase adapter utility is a wrapper around a database connection. utilities import SQLDatabase from langchain_community. Setup: Install langchain-community. toolkit import SQLDatabaseToolkit from Get started with the langchain_sqlserver library with the following tutorials. 📄️ Pandas Dataframe This notebook shows how to use agents to interact with a Pandas DataFrame. db (Optional[SQLDatabase]) – SQLDatabase from which to create a SQLDatabaseToolkit. . Apr 24, 2025 · Know about the potential of your data with LangChain's SQL Assistant tools. Tools within the SQLDatabaseToolkit are designed to interact with a SQL database. We’re excited to announce LangChain integration with Azure SQL Database and SQL database in Microsoft Fabric! LangChain, a powerful tool for building solutions with language models, can be effectively combined with these services to build AI-ready […] Mar 20, 2024 · LangChain简化了数据科学和机器学习领域的数据分析过程。本文介绍了如何设置LangChain环境，使用Teradata数据库进行数据分析，并通过“Hello World”示例展示了其基本功能。 Aug 7, 2023 · This short article introduces LangChain, which we can use to conversationally extract real time insights from a SQL database using Azure OpenAI. prebuilt import create_react_agent toolkit = SQLDatabaseToolkit (db=db, llm=llm) tools = toolkit. 4k次，点赞30次，收藏29次。SQLDatabase Toolkit是LangChain生态系统中的一个重要组件,专门设计用于帮助AI代理与SQL数据库进行交互。它提供了一系列工具,使得AI系统能够执行诸如查询数据、检查数据库结构、验证SQL语句等操作。SQLDatabase Toolkit为AI系统提供了强大的SQL数据库交互能力。通过 Dec 9, 2024 · # flake8: noqa """Tools for interacting with a SQL database. It aims to provide an overview of the currently available tools and identify any challenge during the process. Feb 24, 2025 · 在本文中，我们将介绍如何使用 LangChain 和 LangGraph 构建一个能够与 SQL 数据库交互的代理。这个代理可以回答关于 SQL 数据库的问题，通过一系列步骤来完成任务，包括获取数据库中的表信息、生成查询语句、执行查询并返回结果等。 一、简介 本教程的目标是创建一个代理，该代理能够执行以下 Sep 28, 2024 · How to Use SQLDatabase in Langchain Projects Understanding SQLDatabase in Langchain Langchain is an innovative framework designed to streamline the development of applications that leverage . All the tutorials works with Azure SQL or SQL Server 2025. code-block:: bash pip install -U langchain-community Key init args: db: SQLDatabase The SQL database. My code was working fine till day before. SQL Database This notebook showcases an agent designed to interact with a SQL databases. , MySQL, PostgreSQL, Oracle SQL, Databricks, SQLite). This is the code that creates the errors: llm = AzureChatOpenAI(deployment_name="gpt-4",temperature=0, max_tokens=500) db = SQLDatab Nov 22, 2024 · I am trying to build a sql agent which can query over tabular data using create_sql_agent and SQLDatabaseToolkit from Langchain. Dec 9, 2024 · Setup: Install ``langchain-community``. The main advantages of using the SQL Agent are: It can answer questions based on the databases' schema as well as on the databases' content (like describing a specific table). callbacks import ( AsyncCallbackManagerForToolRun, CallbackManagerForToolRun Aug 25, 2023 · Use LangChain with Azure SQL to query data using natural language. Example: Show me all the records from the student Jul 12, 2024 · from langchain. It enables users to query databases using NL inputs, using Jul 1, 2024 · Having problems with Langchain and SQLDatabaseToolkit: 'sql_db_list_tables' and others doesn't work Asked 1 year ago Modified 1 year ago Viewed 766 times SQL Database Agent # This notebook showcases an agent designed to interact with a sql databases. sql_database. Always use this tool before executing a query with query-sql! This toolkit is useful for asking questions, performing queries, validating queries and more on a SQL database. from_uri method in LangChain, but so far, none of my attempts have been successful. language_models import BaseLanguageModel from langchain_core. The key advantages of the SQL agent are: It can answer questions about the Oct 25, 2023 · 本文主要介绍目前langchain工具在查询sql数据库的内容。 前言：因为企业的结构化数据通常会存储在sql数据库中，利用对话的形式来查询结构化数据库，对于用户来说，会更为方便。甚至对于他们来说，是无感的（并不知… agent_toolkits # Toolkits are sets of tools that can be used to interact with various services and APIs. Toolkit is created using ‘db’ and ‘llm’. g. (Langchain version 0. Whereas in the latter it is common to generate text that can be searched against a vector database, the approach for structured data is often for the LLM to write and execute queries in a DSL, such as SQL. agents import create_sql_agent from langchain_community. agent_toolkits import SQLDatabaseToolkit from langchain_core. By leveraging the power of LangChain, SQL Agents, and OpenAI’s Large Language Models (LLMs Aug 26, 2023 · Issue with current documentation: from langchain. tools. Sep 5, 2023 · The LangChain library provides different tools to interact with SQL databases which can be used to build and run queries based on natural language inputs. Create a new model by parsing and validating input data from keyword arguments. Note that, as this agent is in active development, all answers might not be correct. Image by author (created using Bing Image creator) Scope of Dec 9, 2024 · langchain_community. Most of Langchain is optimized for OpenAPI prompt formats. SQLDatabase 工具包 这将帮助您开始使用 SQL 数据库 工具包。有关所有 SQLDatabaseToolkit 功能和配置的详细文档，请访问 API 参考。 SQLDatabaseToolkit 中的工具旨在与 SQL 数据库进行交互。 一个常见的应用是使代理能够使用关系数据库中的数据回答问题，可能以迭代的方式进行（例如，从错误中恢复）。 ⚠️ SQLDatabase Toolkit の章では、SQL データベースとのやり取りに必要なツールを紹介します。クエリの実行、エラーハンドリング、セキュリティの考慮事項などの機能をカバーしており、セットアップ、インストール、およびインスタンス化のプロセスを通じて、リレーショナルデータを使用した Q&A 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 Jul 22, 2024 · Trying to connect with my Azure SQL Database, it contains multiple tables. It accepts the GROQ API Key required for the LLM model, ensuring secure access to the AI's capabilities. Classes 使 LLM 系统能够查询结构化数据在性质上可能与非结构化文本数据有所不同。在后者中，通常生成可以针对向量数据库搜索的文本，而结构化数据的方法通常是让 LLM 以 DSL（例如 SQL）编写和执行查询。在本指南中，我们将介绍在数据库中的表格数据上创建问答系统的基本方法。我们将介绍使用 链 和 Oct 10, 2023 · from sqlalchemy import create_engine from langchain. SQL（结构化查询语言） 使用案例 (Use case) 企业数据通常存储在SQL数据库中。 (Enterprise data is often stored in SQL databases. messages import SystemMessage from langchain_core. llms. It initializes SQL tools based on the provided SQL database. . SQLDatabaseToolkit # class langchain_community. environ['OPENAI_API Dec 9, 2024 · Deprecated since version langchain-community==0. agent_types import AgentType from langchain. Additionally, it is not guaranteed that the agent won’t perform DML Mar 30, 2024 · Initialise SQLDatabaseToolkit object with a provided database instance and a ChatOpenAI instance. agent_toolkits. May 26, 2024 · Langchain の SQL Database Toolkits は SQL を生成しデータベースにアクセスする機能を提供する。 create_sql_agent () は SQLDatabaseToolkit. 0. SQLDatabaseToolkit ¶ class langchain. pydantic_v1 import BaseModel, Field, root_validator from langchain_core. It is designed to answer more general questions about a database, as well as recover from errors. The agent builds off of SQLDatabaseChain and is designed to answer more general questions about a database, as well as recover from errors. Apr 2, 2025 · Learn about the LangChain integrations that facilitate the development and deployment of large language models (LLMs) on Databricks. They enable use cases such as: Generating queries that will be run based on natural language questions, Creating langchain. I've tried too many agents changing the whole toolkits and agent types still I get some errors regarding unexpected argument was passed. A common application is to enable agents to answer questions using data in a relational database, potentially in 有关所有 SQLDatabaseToolkit 功能和配置的详细文档，请查阅 API 参考。 SQLDatabaseToolkit 中的工具旨在与 SQL 数据库交互。 一个常见的应用是使代理能够使用关系数据库中的数据来回答问题，这可能以迭代方式进行（例如，从错误中恢复）。 ⚠️ 安全注意事项 ⚠️ SQLDatabaseToolkit for interacting with SQL databases. Aug 26, 2023 · 2 I need to connect my langchain database agent with my sqlserver database so that my agent can access the data, yet in the documention it does not explain how to do so, it only shows how to connect to sqlite like the following code: from langchain. Fetch the dependencies: pip install psycopg2 -q pip install langchain_experimental -q pip install google. GitHub Gist: instantly share code, notes, and snippets. chat_models import ChatOpenAI from langchain. It leverages natural language processing (NLP) to query and manipulate database information using simple, conversational language. For talking to SQL databases, it uses the SQLAlchemy Core API . The language model (for use with QuerySQLCheckerTool) SQLDatabaseToolkit # class langchain_community. toolkit import SQLDatabaseToolkit from extra_tools (Sequence[BaseTool]) – Additional tools to give to agent on top of the ones that come with SQLDatabaseToolkit. It is mostly optimized for question answering. ollama import Ollama from langchain_core. agent_toolkits import SQLDatabaseToolkit Aug 17, 2023 · From Lang Chain Documentation SQLDatabaseChain is a simple chain that allows executing SQL queries against a database. generativeai pip install langchain psycopg Apr 2, 2025 · Learn about the LangChain integrations that facilitate the development and deployment of large language models (LLMs) on Azure Databricks. from langchain. Sep 12, 2023 · Here's the code to initialize the LangChain Agent and connect it to your SQL database. This example uses Chinook database, which is a sample database available for SQL Server, Oracle, MySQL, etc. Dec 9, 2024 · SQLDatabaseToolkit for interacting with SQL databases. 数据库交互工具 langchain-community 实现了一些内置工具，用于与我们的 SQLDatabase 交互，包括用于列出表、读取表模式以及检查和运行查询的工具 API 参考： SQLDatabaseToolkit Jan 26, 2024 · I've been attempting to include multiple schemas in the SQLDatabase. js langchain agents/toolkits/sql SqlToolkit Class SqlToolkit Class that represents a toolkit for working with SQL databases. agent_types import AgentType # Define the prompt template template = '''Answer the Natural Language API Toolkits (NLAToolkits) permit LangChain Agents to efficiently plan and combine calls across endpoints. agents. LangChain Python API Reference langchain-community: 0. 3. ) LLMs使得使用自然语言与SQL数据库进行交互成为可能。 (LLMs make it possible to interact with SQL databases using natural language. get_tools () SQL_PREFIX = """You are an agent designed to interact with a SQL database. I know there is a langchain tool called SQLDatabaseAgent and SQLDatabaseToolkit to achieve this. tool. However I want the chatbot to run SQL queries not on the tables but on the views. create_sql_agent / SQLDatabaseToolkit - Agent never gets DB schema and tries to query nonexistent table names. code-block:: python from langchain_community. A recent blog post Tools within the SQLDatabaseToolkit are designed to interact with a SQL database. Given an input question Jul 11, 2024 · SQL Agent with open-source LLMDescription I'm trying to make an SQL agent with hugging face llm but it seems like the agent settings are only supposed to work with openai. 📄️ PlayWright Browser This toolkit is used to interact with the browser. ::: This notebook shows how to use the utility to access an SQLite database. We hope to continue developing different toolkits that can enable agents to do amazing feats. Pandas DataFrame agent - for interrogating Pandas DataFrames2. prompts import PromptTemplate from langchain. It uses the example Chinook Database, and demonstrates those features: Query using SQL Query using SQLAlchemy selectable Fetch modes cursor, all Tools are utilities designed to be called by a model: their inputs are designed to be generated by models, and their outputs are designed to be passed back to models. 此工具包对于在 SQL 数据库上提问、执行查询、验证查询等非常有用。 设置 此示例使用 Chinook 数据库，这是一个可用于 SQL Server、Oracle、MySQL 等的示例数据库。 要进行设置，请按照 这些说明 操作，将 . This is an exploratory article. It takes a SQLDatabase object and sequentially calls tools like sql_query and sql_print_result to run and print queries. It doesn’t actually create the SQL query. Documentation for LangChain. In this guide we'll go over the basic ways to create a Q&A system over tabular data Setup: Install ``langchain-community``. You can override the default prompt when initializing the SQLDatabaseChain. QuerySQLDataBaseTool ¶ Note QuerySQLDataBaseTool implements the standard Runnable Interface. Queries are processed, and the chatbot provides responses from the connected database. 27 utilities SQLDatabase Agents LangChain has a SQL Agent which provides a more flexible way of interacting with SQL Databases than a chain. The language model (for use with QuerySQLCheckerTool) Aug 9, 2023 · In this article, we’ll use the SQLDatabaseToolkit to interact with SingleStoreDB by making a request in English. 2. agent_toolkits import SQLDatabaseToolkit from langchain. In this article we will see how we can use large language models (LLMs) to interact with a complex database using Langchain agents and tools, and then deploying the chat application using Streamlit. We’ve witnessed how LangChain’s SQL toolkit acts because the translator, changing our plain-English questions into the structured language of SQL. Enabling a LLM system to query structured data can be qualitatively different from unstructured text data. Similar to SQL Database Agent, it is designed to address general inquiries about Spark SQL and LangChain. Learn how to build your own Copilot for Azure SQL with Python. Be Aug 21, 2023 · A step-by-step guide to building a LangChain enabled SQL database question answering agent. May 15, 2024 · A high-level depiction of how to build a text-to-SQL solution in LangChain So how does it work in practice? When a user asks a question, the LLM will understand and make sense of the question, and Jun 27, 2024 · I am trying to access all data from pre-defined VIEWS in my MS SQL database using Langchain - SQLDatabaseToolkit and Langchain - create_sql_agent. It translates natural language queries into SQL commands, retrieves data 数据库交互工具 langchain-community 实现了一些内置工具，用于与我们的 SQLDatabase 交互，包括列出表、读取表模式以及检查和运行查询的工具。 API参考: SQLDatabaseToolkit SQLDatabaseChain SQLDatabaseChain is a langchain_experimental chain for interacting with SQL Database. JSON Agent - fo Dec 5, 2023 · In my previous blog, we explored the Langchain tool and its remarkable create_sql_agent function, which enables the creation of a powerful… May 16, 2024 · Let’s talk about ways Q&A chain can work on SQL database. Dec 9, 2024 · extra_tools (Sequence[BaseTool]) – Additional tools to give to agent on top of the ones that come with SQLDatabaseToolkit. engine import Result from langchain_core. Learn how to build interactive applications with GROQ API. The SQL database. db 文件放在您的代码所在的目录中。 如果您想从各个工具的运行中获得自动跟踪，您还可以通过 In this video, we look at different agent toolkits for Langchain, including:1. jsClass that represents a toolkit for working with SQL databases. If anyone knows how to fix it please help. agents. Sep 28, 2023 · We will use SQL Database Toolkit and Agent which can convert user input into appropriate SQL query and run it in Database to get an answer. For example, the standard SQL Toolkit draws from standard best practices that have been extensively covered in this blogpost. LangChain comes with a number of built-in chains and agents that are compatible with any SQL dialect supported by SQLAlchemy (e. In this guide we’ll go over the basic ways to create a Q&A system over tabular QuerySQLDatabaseTool # class langchain_community. Must provide exactly one of ‘db’ or ‘toolkit’. messages import HumanMessage from langgraph. Additionally, it is not guaranteed that the agent won't perform DML statements on your database given certain questions. SQLDatabaseToolkit(*, db: SQLDatabase, llm: BaseLanguageModel) [source] ¶ Bases: BaseToolkit Toolkit for interacting with SQL databases. agents import create_sql_agent from langchain. Setup: Install ``langchain-community``. agents import AgentExecutor, create_sql_agent from langchain. create_sql_agent creates a more advanced SQL agent using the SQLDatabaseToolkit. Dec 9, 2024 · 文章浏览阅读507次，点赞4次，收藏8次。SQLDatabase Toolkit提供了一种强大的方式来从SQL数据库中提取信息，并可用于构建复杂的Q&A系统。更多关于工具包功能和配置的细节可以参考官方API文档。_langchain sqldatabasetoolkit Oct 27, 2023 · langchain. Dec 9, 2024 · [docs] def create_sql_agent( llm: BaseLanguageModel, toolkit: Optional[SQLDatabaseToolkit] = None, agent_type: Optional[ Union[AgentType, Literal["openai-tools SQL Agent Toolkit 这个示例展示了如何加载和使用SQL工具包中的代理。 让我们用一个经典的“Hello World”例子来打破僵局。打开 Jupyter 笔记本，导入 Langchain 库，然后让我们 访问 我们的数据： from langchain. toolkit import SQLDatabaseToolkit from langchain_community. agent_toolkits. Install langchain-community. Feb 19, 2024 · The next section utilizes the LangChain SQL Database Toolkit to create a LangChain SQL agent that uses OpenAI as the LLM and the database connection. 🏃 The Runnable Interface has additional methods that are available on runnables, such as with_types, with_retry, assign, bind, get_graph, and more. It can recover from errors by running a generated query, catching the traceback and regenerating it Mar 1, 2023 · Today, we're announcing agent toolkits, a new abstraction that allows developers to create agents designed for a particular use-case (for example, interacting with a relational database or interacting with an OpenAPI spec). toolkit. Jul 11, 2023 · DOC: Langchain works well with single database, but in a session if I have to work with multiple database, it does not seem working #7581 Aug 19, 2023 · Natural language querying allows users to interact with databases more intuitively and efficiently. get_tools () の May 14, 2024 · langchain_community. openai import OpenAI from langchain. Toolkits are supported LangChain. , recovering from errors). blvbvm okx exef ghf edxqsvf pcw nqdlmmp nowf qmtinsx tfxan