Langchain sql agent with ollama. Many popular Ollama models are chat completion models.

Langchain sql agent with ollama. Jan 31, 2025 · The project utilizes: DeepSeek Coder 33B for accurate SQL generation LangChain for structuring and processing prompts Ollama for running DeepSeek locally Streamlit for a simple and interactive UI Langchain Agents. sql. A common application is to enable agents to answer questions using data in a relational database, potentially in an Mar 10, 2025 · 目前LLM非常强大，但是如果只将它们用于聊天补全、生成图像这类生成式的场景，无异于自断双臂。近年来Agent的出现，必将会让AI渗透到日常生活中的方方面面。微软的semantic kernel关 Aug 29, 2023 · I am trying to use my llama2 model (exposed as an API using ollama). We try to be as close to the original as possible in terms of abstractions, but are open to new entities. where user will ask question in natural language and llms will wrtie sql query, run it on my database and then give me result in natural language. One can learn more by watching the youtube videos about running Ollama locally. 1) that runs locally on our PC. Feb 13, 2025 · Ollama is again a software for Mac and windows but it's important because it allows us to run LLM models locally. May 7, 2025 · PromptTemplate: Wraps the string template for use with LangChain. create_sql_agent (llm [, ]) Construct a SQL agent from an LLM and toolkit or database. \nGiven an input question, create a syntactically correct Spark SQL query to run, then look at the results of the query and return the answer. Create autonomous workflows using memory, tools, and LLM orchestration. in/dtZgJAaa #sqlagent #llama3 # Agents LangChain has a SQL Agent which provides a more flexible way of interacting with SQL Databases than a chain. This is very useful when you are using LLMs to generate any form of structured data. Bind tools to an Ollama model 3. It uses Zephyr-7b via Ollama to run inference locally on a Mac laptop. 3. Jul 8, 2024 · This integration of LangChain and LLM opens up numerous possibilities for data analysis, especially for specific schemas. Contribute to nelfaro/Langchain-Ollama-SQL development by creating an account on GitHub. Sep 14, 2024 · Building a Real-Time AI Agent with LangChain, LangGraph, and Open Source LLMs using Ollama Dec 9, 2024 · """SQL agent. This template enables a user to interact with a SQL database using natural language. 1 - qwen3:8b Tested with: - langchain >= 0. LangChain agents (the AgentExecutor in particular) have multiple configuration parameters. 10） Aug 21, 2023 · A step-by-step guide to building a LangChain enabled SQL database question answering agent. Download your LLM of interest: May 30, 2024 · In this article, we will introduce how to implement Tech2SQL with OLLAMA , Groq and Streamlit applications for building applications. Environment Setup Before using this template, you need to set up Ollama and SQL database. Link - https://lnkd. Jul 17, 2024 · Enter the realm of AI-powered automation with CrewAI and Ollama, tools designed to streamline and enhance database operations through intelligent agents. messages import AIMessage, SystemMessage from langchain_core. llms import Ollama from langchain. toolkit. Here’s how you can set it up: Get up and running with large language models. , MySQL, PostgreSQL, Oracle SQL, Databricks, SQLite). Jul 12, 2024 · Let's work together to solve this problem! To resolve the issues with creating an SQL agent using LangChain, you can follow these steps: Correct the create_sql_agent Function Call: Ensure that the parameters passed to the create_sql_agent function are correct. This post is about how using Ollama and Vanna. create_sql_agent(llm: BaseLanguageModel, toolkit: SQLDatabaseToolkit | None = None, callback_manager: BaseCallbackManager | None = None, prefix: str | None = None, suffix: str | None = None, top_k: int = 10, max_iterations: int | None = 15, max_execution_time: float | None = None, early_stopping_method: str = 'force', verbose: bool = False Ollama helps you create chatbots and assistants that can carry on intelligent conversations with your users. ai you can build a SQL chat-bot powered by Llama 3. Users can now obtain answers using natural language, enhancing and complementing existing BI solutions. Aug 16, 2024 · In this article, we will learn how to create a custom agent that uses an open source llm (llama3. I want to chat with the llama agent and query my Postgres db (i. — verbose=True is incredibly helpful for debugging, as it prints out the agent's internal "thoughts" and Jun 17, 2025 · 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. MLflow AI Gateway for LLMs The MLflow AI Gateway for LLMs is a powerful tool designed to streamline the usage and management of various large language model (LLM) providers, such as OpenAI and Anthropic, within an organization. 1. Dec 20, 2024 · 文章浏览阅读591次，点赞7次，收藏10次。SQL-ollama模版为开发者提供了一种便捷的方式来通过自然语言与SQL数据库进行交互。通过配置和使用LangChain和Ollama，您可以在不编写复杂SQL语句的情况下进行复杂的数据库查询。_ollama 自然语言转sql Jul 30, 2024 · Unlock the power of LLMs like ChatGPT and Ollama to effortlessly query and analyze your SQL database using natural language. Most of the times two tables need to joined on more than one column and in where SQL One of the most common types of databases that we can build Q&A systems for are SQL databases. Execute the model with a basic math query 4. I personally feel the agent tools in form of functions gives great flexibility to AI Engineers. I just released a new YouTube video tutorial where I walk you through building a SQL Agent using Langchain and Llama 3 by utilizing Ollama. Tools within the SQLDatabaseToolkit are designed to interact with a SQL database. Mar 25, 2025 · ollama本地已部署14b模型，（14b以下模型解析sql可能存在不准确的情况） miniconda，已创建好python环境（conda create -n demo01 python=3. We will also use Ollama and LangChain. SQLDatabase Toolkit This will help you get started with the SQL Database toolkit. agent_toolkits. In this notebook we will show how those parameters map to the LangGraph react agent executor using the create_react_agent prebuilt helper method. Learn to set up and use LangChain for complex queries, making data-driven decisions easier and accessible to all, even without technical expertise. SQLDatabaseToolkit # class langchain_community. chat import ( ChatPromptTemplate, HumanMessagePromptTemplate, MessagesPlaceholder Sep 12, 2023 · Under the hood, the LangChain SQL Agent uses a MRKL (pronounced Miracle)-based approach, and queries the database schema and example rows and uses these to generate SQL queries, which it then executes to pull back the results you're asking for. This article will take you on a detailed journey to create a sophisticated SQL agent using CrewAI and Ollama. Toolkit is created using ‘db’ and Aug 21, 2024 · SQL-Ollama是一个强大的模板，它允许用户使用自然语言与SQL数据库进行交互。 该模板利用Zephyr-7b模型通过Ollama在本地Mac笔记本上运行推理，无需依赖云端API，既保护了数据隐私，又提高了查询效率。 SQL-Ollama为数据库查询提供了一种直观、高效的方法。 Full Couse 👇 Master Langchain and Ollama: Build Chatbots, RAG, and Agents https://bit. langchain&Ollama&Qwen2=>Agent Agent langchain提供的Agent的能力 create_sql_agent agent能力的执行者-tool agent的类型 agent的Executor对象 agents聚合应用 How to: use legacy LangChain Agents (AgentExecutor) How to: migrate from legacy LangChain agents to LangGraph Callbacks Callbacks allow you to hook into the various stages of your LLM application's execution. Toolkit is created using ‘db’ and Mar 29, 2025 · Do you still need to write SQL? In this step-by-step tutorial, learn how to build AI Agent that understands natural language questions and interacts directly with your SQL database. Implemented schema-aware prompts and conversational context handling for complex query generation. agent. The example shows how to: 1. Here we focus on how to move from legacy LangChain agents to more flexible LangGraph agents. Many popular Ollama models are chat completion models. I used the Mixtral 8x7b as a movie agent to interact with Neo4j, a native graph database, through a semantic layer. It offers a high-level interface that simplifies the interaction with these services by providing a unified endpoint to handle specific LLM related requests sql-research-assistant This package does research over a SQL database Usage This package relies on multiple models, which have the following dependencies: OpenAI: set the OPENAI_API_KEY environment variables Ollama: install and run Ollama llama2 (on Ollama): ollama pull llama2 (otherwise you will get 404 errors from Ollama) To use this package, you should first have the LangChain CLI installed: Aug 20, 2024 · LLM Agentを組むのに便利な"LangGraph"というPythonのライブラリがあります。 今回の記事は、Ollamaで稼働させたローカルLLMとLangGraphを使って簡単なLLM Agentを作り、動作を試してみた話をまとめてみたいと思います。 Agentの構成 Mar 31, 2025 · How to Build a Local AI Agent With Python (Ollama, LangChain & RAG) Tech With Tim 1. How does it work? Dec 9, 2024 · Key init args: db: SQLDatabase The SQL database. io for a faster experience. ly/ollama-and-langchainmore Agents LangChain offers a number of tools and functions that allow you to create SQL Agents which can provide a more flexible way of interacting with SQL databases. create_react_agent: This LangChain function takes the LLM, the list of tools, and the prompt to construct the core agent logic. e. LangChain comes with a number of built-in chains and agents that are compatible with any SQL dialect supported by SQLAlchemy (e. Mar 2, 2024 · Creating the Agent with LangGraph and Ollama The core of our example involves setting up an agent that can respond to user queries, such as providing the current time. prompts import BasePromptTemplate, PromptTemplate from langchain_core. Classes 本文译自JSON agents with Ollama & LangChain一文，以电影推荐助手为实践案例，讲解了博主在工程实践中，如何基于LangChain框架和本地LLM优雅实现了Json结构化的智能体。 agent_executor_kwargs (Optional[Dict[str, Any]]) – Arbitrary additional AgentExecutor args. Specifically, check the equality operator (==) used for llm and correct it to a single =. Apr 22, 2024 · Image by Author On 18th April Meta released their open-source Large Language Model called Llama 3. extra_tools (Sequence[BaseTool]) – Additional tools to give to agent on top of the ones that come with SQLDatabaseToolkit. Parameters llm (BaseLanguageModel) – Language model to use for the agent. The code is available as a Langchain template and as a Jupyter notebook. They enable use cases such as: Generating queries that will be run based on natural language questions, Creating Jul 26, 2024 · Checked other resources I added a very descriptive title to this question. Setup: Install langchain-community. I'm using Langchain's SQL agent and it works pretty well against GPT-4 I have each type of metadata implemented as a "Tool" for the sql agent to use as it builds the code (on top of the tools that the SQL agent has built-in). This video teaches you how to build a SQL Agent using Langchain and the latest Llama 3 large language model (LLM). Contribute to TheAILearner/Langchain-Agents development by creating an account on GitHub. Given an input question, create a syntactically correct {dialect} query to run, then look at the results of the query and return the answer. sql-ollama 这个模板使用户能够使用自然语言与SQL数据库进行交互。 它使用 Zephyr-7b 通过 Ollama 在Mac笔记本上本地运行推理。 环境设置 在使用此模板之前，您需要设置Ollama和SQL数据库。 按照 这里 的说明下载Ollama。 下载您感兴趣的LLM： 此软件包使用 zephyr： ollama pull zephyr 您可以从 这里 选择多个LLM 此 Jul 30, 2024 · We will create an agent using LangChain’s capabilities, integrating the LLAMA 3 model from Ollama and utilizing the Tavily search tool for web search functionalities. prompts. Follow instructions here to download Ollama. llm: BaseLanguageModel The language model (for use with QuerySQLCheckerTool) Instantiate: C# implementation of LangChain. toolkit (Optional[SQLDatabaseToolkit]) – SQLDatabaseToolkit for the agent to use. I used the GitHub search to find a similar question and Jun 28, 2024 · Hello, thanks for this amazing explanation. For detailed documentation of all SQLDatabaseToolkit features and configurations head to the API reference. Create a simple tool (add function) 2. - tryAGI/LangChain. prefix: str = 'You are an agent designed to interact with Spark SQL. These agents repeatedly questioning their output until a solution to a given task is found. Feb 25, 2024 · Diving into Agents and Function Calling: My First Experience Learn to build AI agents with LangChain and LangGraph. 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. agent_executor_kwargs (Optional[Dict[str, Any]]) – Arbitrary additional AgentExecutor args. ⛏️ Extraction These templates extract data in a structured format based upon a user-specified schema. Building a Text-to-SQL AI Agent with pure Java, LangChain4j, and Ollama: Ask your database anything Tsvetan Tsvetkov Follow 11 min read Sep 5, 2024 · In this post I want to explore how one might go about prompt engineering to retrieve more accurate results incorporating a local SQL database, return a SQL how to use LangChain to talk to a local database and return not just a SQL query, but also get the model to run the SQL query and return the answer in text form. sql_agent. Toolkit is created using ‘db’ and Sep 22, 2024 · 本文讨论如何将自然语言输入转换为SQL查询，并通过LLM生成自然语言结果。我们使用Ollama模型和LangChain库构建功能，定义提示模板以结构化输入，确保LLM理解上下文。通过RunnableLambda封装函数，实现数据流畅传递，并提取和执行SQL查询，最终返回用户所需信息。 Feb 20, 2024 · Ultimately, I decided to follow the existing LangChain implementation of a JSON-based agent using the Mixtral 8x7b LLM. 1 on a local system Mar 10, 2025 · 本文介绍了LangChain框架在本地部署LLM应用开发中的应用，涵盖LangChain架构、核心模块及Agent方式开发AI应用Demo。通过Ollama部署DeepSeek-R1模型，展示LangChain的模型包装器、提示词模板等功能，并介绍Agent的记忆和决策功能。 Local LLM Applications with Langchain and Ollama. Output parsers are responsible for taking the output of an LLM and transforming it to a more suitable format. Sep 2, 2024 · Learn how to use LangGraph to build local AI Agents with Ollama and Llama 3. This opened the door for creative applications, like automatically accessing web I am developing a text-to-sql project with llms and sql server. Apr 2, 2024 · LangChain has recently introduced Agent execution of Ollama models, its there on their youtube, (there was a Gorq and pure Ollama) tutorials. You are currently on a page documenting the use of Ollama models as text completion models. generate text to sql). 6. g. Now without agent it is sql queries but sometime it is generating table names which is not present in the db and logic This video teaches you how to implement an end-to-end custom SQL agent which consist of dynamic few shot prompting with the recently released open-source LLM, Llama 3. About Built a natural language chatbot interface for SQL databases using LangChain Toolkit and Agents. It can recover from errors by running a generated query TO 'ai_agent'@'localhost'; Prompt Engineering: If the LLM generates incorrect SQL, refine the prompt in the script or use a more capable model like mistral. In this tutorial, I'll add that I created a custom "handler" to extract the final sql statement it creates, since the sql agent returns the "answer" rather than the SQL statement. Must provide exactly one of ‘toolkit’ or You are an agent designed to interact with a SQL database. 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). New to LangChain or LLM app development in general? Read this material to quickly get up and running building your first applications. Sep 16, 2024 · The LangChain library spearheaded agent development with LLMs. When running an LLM in a continuous loop, and providing the capability to browse external data stores and a chat history, context-aware agents can be created. Jul 16, 2024 · 保存模型： 添加提示建议和相关类别。 保存模型文件，使其在Ollama生态系统中可用。 3 构建LangChain集成 LangChain是开源的框架，用于构建基于大型语言模型的应用程序。 它通过将语言模型与内部数据源相结合，自动化地串联起一系列操作，生成智能响应。 agent_executor_kwargs (Optional[Dict[str, Any]]) – Arbitrary additional AgentExecutor args. Extraction Using OpenAI Functions: Extract information from text using OpenAI Function Calling. \nYou Mar 8, 2024 · LangChain 提供了两个核心组件用于实现 Text2SQL：SQL Chain和 SQL Agent。 SQL Agent 作为 LangChain 的一个重要组件，与两种代理类型集成：“openai-tools” 和 “openai-functions”。 Ollama allows you to run open-source large language models, such as Llama 2, locally. 8M subscribers Subscribe Aug 2, 2024 · LangChain provides several key functionalities to simplify integrating natural language queries with database operations. Handle tool calls and responses manually Tested with Ollama version 0. 24 - langchain-ollama Langchain Agents. AgentExecutor: This is what runs the agent. \nUnless the user specifies a specific number of examples they wish to obtain, always limit your query to at most {top_k} results. How to: pass in callbacks at runtime How to: attach callbacks to a module How to: pass callbacks into a module constructor How to: create custom callback handlers How to: use callbacks in agent_toolkits # Toolkits are sets of tools that can be used to interact with various services and APIs. Performance Perks: Ollama optimizes performance, ensuring your large language models run smoothly even on lower-end hardware. create_sql_agent # langchain_cohere. We'll use it for language model integration, database connectivity and abstraction, creating a query chain, and natural language to SQL translation. Aug 13, 2024 · Coding the RAG Agent Create an API Function First, you’ll need a function to interact with your local LLaMA instance. What will we use? What is Langchain? Langchain allows you 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. sql_agent. If agent_type is “tool-calling” then llm is expected to support tool calling. db (Optional[SQLDatabase]) – SQLDatabase from which to create a SQLDatabaseToolkit. Logging: Enable verbose mode (verbose=True) in the agent to debug SQL queries. SQL Question Answering (Ollama): Question answering over a SQL database, using Llama2 through Ollama. 6 and the following models: - llama3. We'll walk you through the entire process, from setting up your local Apr 9, 2024 · The docs describe how to create an SQL agent using OpenAI as an example but implying that the approach is generic. Sep 30, 2024 · 通过sql-ollama模板，您可以方便地使用自然语言与SQL数据库交互，实现更高效的数据库管理和分析。 Ollama官方文档LangChain官方指南。 Dec 9, 2024 · Construct a SQL agent from an LLM and toolkit or database. 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 We would like to show you a description here but the site won’t allow us. I searched the LangChain documentation with the integrated search. vectorstores import Chroma SQLDatabaseToolkit # class langchain_community. The problem is schema of database is huge and tables names,column names are not self explanatory. It can recover from errors by running a generated query, catching the traceback and regenerating it Nov 27, 2024 · 本篇文章将展示如何使用Ollama和LangChain在本地Mac环境下，通过自然语言与SQL数据库进行交互。 无论您是AI开发者还是数据库管理员，希望本文对您有所帮助。 Jul 2, 2024 · This video teaches you how to implement dynamic few-shot prompting with open-source LLMs like Llama 3 using Langchain on local environment. SQLCoder is a code completion model fined-tuned on StarCoder for SQL generation tasks We would like to show you a description here but the site won’t allow us. The main advantages of using SQL Agents are: It can answer questions based on the databases schema as well as on the databases content (like describing a specific table). 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. Jan 7, 2025 · 文章浏览阅读888次，点赞12次，收藏10次。Prompt Engineering 通过控制整个交互流程的prompt，实现sql语句的自动执行。在实际使用中，发现本代码存在一些生成SQL语句但是不执行的问题。Agent + Chain 的方式，手动控制每一个chain，来完成指定sql的运行。_langchain ollama mysql Oct 23, 2024 · I am trying to build one text to sql app where I have used ollama and mistral. Jul 7, 2024 · Here’s a breakdown of what we’re bringing in: from crewai import Crew, Agent from langchain. The problem is that model hallucinates observations and gives a wrong final answer on the first call. I am able to use create_sql_query_chain just fine against either an OpenAI LLM or an Ollama LLM (examples below). I was able to find langchain code that 通过大语言模型，让用户通过自然语言来输出最后的结果，完全不用理解SQL，本文使用LangChain和Ollama提供一个思路。 1：安装一些包和初始化数据$ pip install langchain langchain-community sqlalchemy创建一个SQ… Sep 30, 2024 · 引言 在现代数据驱动的环境中，与SQL数据库的交互不仅仅局限于编写复杂的查询语句。本文介绍了如何使用Ollama和LangChain，通过自然语言与SQL数据库进行交互。我们将设置一个能够解析自然语言 Langchain Agents. SQLDatabaseToolkit [source] # Bases: BaseToolkit SQLDatabaseToolkit for interacting with SQL databases. Sep 29, 2024 · How to Use Ollama Effectively with LangChain Understanding the Concepts What is Ollama? Ollama is a conversational AI platform designed to build and deploy large language models (LLMs) that can May 1, 2025 · """ This example demonstrates using Ollama models with LangChain tools. Integrated Ollama for language understanding and Flask for the web UI, reducing data analysis effort by 50% for non-technical users. sql-ollama This template enables a user to interact with a SQL database using natural language. It also plays well with cloud services like Fly. """ from __future__ import annotations from typing import ( TYPE_CHECKING, Any, Dict, List, Literal, Optional, Sequence, Union, cast, ) from langchain_core. Outline Install Ollama Pull model Serve model Create a new folder, open it with a code editor Create and activate Virtual environment Install langchain langchain-ollama Build Custom agent with open source model in Python Nov 4, 2023 · I followed this langchain custom agent guide but with local ollama mistral:7b-instruct model. tmirl wpzrb plorh eefbyq hsby bkspj ulzqegyx imdh naizk zjyqy