Langchain agent github. Their framework enables you to build layered LLM-powered applications that are context-aware and able to interact dynamically with their environment as agents, leading to simplified code for you and a more dynamic user experience for your customers. It leverages LangGraph's long-term memory store to allow an agent to search for and retrieve relevant tools for a given problem. Build resilient language agents as graphs. 基于 LangChain 框架的开源多智能体 Agent 项目. py that implement a retrieval-based question answering system. The ReAct framework is a powerful approach that combines reasoning capabilities with actionable outputs, enabling language models to interact with external tools and answer complex questions The langchain_pandas_agent project integrates LangChain and OpenAI 3. As a starting point, we’re launching the hub with a repository of prompts used in LangChain. These agents are designed to streamline and enhance various research tasks, leveraging advanced AI capabilities. LangChain : 原始的🐍 LangChain. CrewAI works with local models downloaded via Ollama or remote models like OpenAI. env A financial agent, built entirely with LangChain! Contribute to virattt/financial-agent development by creating an account on GitHub. 🛠️ Convert MCP tools into LangChain tools that can be used with LangGraph agents 📦 A client implementation that allows you to connect to multiple MCP servers Local RAG Agent built with Ollama and Langchain🦜️. A swarm is a type of multi-agent architecture where agents dynamically hand off control to one another based on their specializations. By combining the historical data capabilities of the LLM with the live information from Google Search, we A collection of generative UI agents written with LangGraph. js : js版本的兄弟 langgraph : 基于langchain 的 rag或agent框架 概念: Langchain概念文档 Twitter账户: 关注以获取最新更新 Youtube频道 Discord: 讨论 Langchain博客: 官方Langchain博客 LangChainHub : 收集所有对于使用LangChain原始概念（如提示，链和代理）有用的工件的集合,LangChainHub的灵感来自于 本地知识库 + chatGLM6B + CustomAgent. LangChain Labs is a collection of agents and experimental AI products. ts, demonstrates a flexible ReAct agent that 🦜🔗 Build context-aware reasoning applications. Our goal with LangChainHub is to be a single stop shop for sharing prompts, chains, agents and more. ReAct agents are uncomplicated, prototypical agents that can be flexibly extended to many tools. This project showcases the creation of a ReAct (Reasoning and Acting) agent using the LangChain library. Each approach has distinct strengths An example repository for getting started with the Agent Inbox and LangGraph - langchain-ai/agent-inbox-langgraph-example TheAILearner / Langchain-Agents Public Notifications You must be signed in to change notification settings Fork 19 Star 26 This repository demonstrates how to build a multi-agent AI system using: LangChain for natural language to SQL translation. Looks great! We're also able to ask questions that refer to previous interactions in the conversation and the agent is able to refer to the conversation history to as a source of information. js - langchain-ai/langgraphjs-gen-ui-examples A Python library for creating swarm-style multi-agent systems using LangGraph. A CUA is a type of agent which has the ability to interact with a computer to preform tasks. When you use all LangChain products, you'll build better, get to production quicker, and grow visibility -- all with less set up and friction. This project explores multiple multi-agent architectures using Langchain (LangGraph), focusing on agent collaboration to solve complex problems. AutoGen for coordinating AI agents in collaborative workflows. ai This project implements a Virtual Sales Agent that simulates customer interactions, providing information and support through a Streamlit interface. Create a custom LangChain agent dubbed "Agent AWS" that queries the AWS Well-Architected Framework and deploys Lambda functions, all backed by Amazon Bedrock and housed in a Streamlit chatbot. I used the GitHub search to find a similar question and. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks. The agent operates by maintaining an internal state and iteratively performing actions based on the input and the results of previous actions. Example application for constructing and running an LLM-based LangChain SQL Agent based on GPT-4o mini that can dynamically query a database and invoke multiple visualization tools - EliasK93/LangC Multi-Modal LangChain agents in Production This starter project contains the necessary scaffolding to deploy LangChain Agents with memory and connect them to Telegram. Evals for agents. Contribute to jbpayton/langchain-stock-screener development by creating an account on GitHub. I implement and compare three main architectures: Plan and Execute, Multi-Agent Supervisor Multi-Agent Collaborative. 💻 Welcome to the "Functions, Tools and Agents with LangChain" course! Instructed by Harrison Chase, Co-Founder and CEO at LangChain, this course will keep you updated with the latest advancements in Large Language Models (LLMs) and the libraries supporting them. Additionally, it integrates with This repository contains sample code to demonstrate how to create a ReAct agent using Langchain. Sep 27, 2023 · 🤖 Hello, To create a chain in LangChain that utilizes the create_csv_agent() function and memory, you would first need to import the necessary modules and classes. This monorepo is a customizable template example of an AI chatbot agent that "ingests" PDF documents, stores embeddings in a vector database (Supabase), and then answers user queries using OpenAI (or another LLM provider) utilising LangChain and LangGraph as orchestration frameworks. Azure OpenAI GPT-4 for intelligent language understanding and generation of SQL queries in PostgreSQL. The application showcases a shipping company The Github toolkit contains tools that enable an LLM agent to interact with a github repository. Developers can use AgentKit to Quickly experiment on your constrained agent architecture with a beautiful UI Build a full stack chat-based Agent app that can scale to production-grade MVP Key advantages of the AgentKit ReAct Agents Overview ReAct agents in LangChain are designed to handle natural language inputs, process them, and determine the appropriate actions to take using a set of integrated tools. This is a straightforward way to allow an agent to persist important information for later use. While langchain provides integrations and composable components to streamline LLM application development, the LangGraph library enables agent orchestration — offering customizable architectures, long-term memory, and human-in-the-loop to reliably handle You can copy and paste the example questions from this table to replace the question at the bottom of the "ai-langchain-react-agent. It integrates with LangChain, OpenAI, and various tools to deliver accurate and helpful responses. This is a starter project to help you get started with developing a retrieval agent using LangGraph in LangGraph Studio. json is indexed instead. Enfuse agents with updated data so they make better informed decisions that scale with your analytics practice - tableau/tableau_langchain langgraph-bigtool is a Python library for creating LangGraph agents that can access large numbers of tools. A Python library for creating computer use agent (CUA) systems using LangGraph. AI agent built with LangChain to generate and explain code across multiple programming languages. Contribute to lloydchang/langchain-ai-langgraph development by creating an account on GitHub. Learn the essentials of LangSmith — our platform for LLM application development, whether you're building with LangChain or not. AgentKit is a LangChain-based starter kit developed by BCG X to build Agent apps. Jupyter Notebooks to help you get hands-on with Pinecone vector databases - pinecone-io/examples Langchain_CrewAI_Gemini-AI_Agents This GitHub repository houses a project where the Langchain platform, powered by Google's Gemini AI, collaborates with CREWAI to develop AI agents tailored for automating research activities. LangChain's products work seamlessly together to provide an integrated solution for every step of the application development journey. LangGraph Studio template for creating an agent that does web research to genearte or enrich structured data. The project leverages the IBM Watsonx Granite LLM and LangChain to set up and configure a Retrieval Augmented LangChain Agent Guide. After that, you would call the create_csv_agent() function with the language model instance, the path to your CSV This repo provides a simple example of a ReAct-style agent with a tool to save memories, implemented in JavaScript. Continuously improve your application with LangSmith's tools for LLM observability, evaluation, and prompt engineering. Jul 22, 2024 · Advanced AI-Driven Data Analysis System: A LangGraph Implementation Project Overview I've developed a sophisticated data analysis system that leverages the power of LangGraph, showcasing its capabi Mar 6, 2024 · Checked other resources I added a very descriptive title to this question. That's all for this example of building a retrieval augmented conversational agent with OpenAI and Pinecone (the OP stack) and LangChain. Key Enhancements: LangChain Integration: Native support for LangChain models and tools Multi-LLM Support: GigaChat, OpenAI, DeepSeek, Qwen, and more via LangChain Maintained Compatibility: Full backward compatibility with original MCP patterns Inspiration This project demonstrates the integration of a Large Language Model (LLM) with the Google Search API via LangChain agents to automate data retrieval and provide summarized, real-time insights. If an empty list is provided (default), a list of sample documents from src/sample_docs. It's designed to be simple yet informative, guiding you through the essentials of integrating custom tools with Langchain. - Ranbosai/langchain-code-agent May 2, 2023 · LangChain is a framework for developing applications powered by language models. - langchain-ai/data-enrichment This project is a voice-controlled AI assistant powered by LangChain agents, Vosk for speech recognition, OpenAI for text generation and TTS, and SerpAPI for web searches. Those sample documents are based on the conceptual guides for mcp-agent is a simple, composable framework to build agents using Model Context Protocol with extended support for LangChain integrations. This project demonstrates how to use LangChain to create a question-and-answer (Q&A) agent based on a large language model (LLM) and retrieval augmented generation (RAG) technology. I searched the LangChain documentation with the integrated search. 5 to build an agent that can interact with pandas DataFrames. It utilizes LangChain's CSV Agent and Pandas DataFrame Agent, alongside OpenAI and Gemini APIs, to facilitate natural language interactions with structured data, aiming to uncover hidden insights through conversational AI. I followed this langchain tutorial . Multi-Agent Chatbot is a sophisticated chatbot application that leverages multiple agents to handle different types of queries. LangChain 的中文入门教程. This template Apr 2, 2024 · I am using MacOS, and installed Ollama locally. js, designed for LangGraph Studio. Contribute to liaokongVFX/LangChain-Chinese-Getting-Started-Guide development by creating an account on GitHub. Jan 30, 2024 · Checked other resources I added a very descriptive title to this question. GitHub Gist: instantly share code, notes, and snippets. Why do LLMs need to use Tools? Feb 19, 2024 · I hope all's been well on your side! Yes, it is indeed possible to create an SQL agent in the latest version of LangChain to query tables on Google BigQuery. LangChain's products work seamlessly together to provide an integrated solution for every step of the application development journey. Lambda instruments the Financial Services agent logic as a LangChain Conversational Agent that can access customer-specific data stored on DynamoDB, curate opinionated responses using your documents and webpages indexed by Kendra, and provide general knowledge answers through the FM on Bedrock. It contains example graphs exported from src/retrieval_agent/graph. 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. Nov 14, 2023 · LangChain SQL - Agent Setup. It provides a Streamlit user interface for interacting with An Agentic RAG implementation using Langchain and a telegram client to send/receive messages from the chatbot - riolaf05/langchain-rag-agent-chatbot This project enables chatting with multiple CSV documents to extract insights. I used the GitHub search to find a similar question and 🦜🔗 Build context-aware reasoning applications. Looking for the TypeScript version? Check out the repo here. py" script. It demonstrates how to create, test, and add features like Human-in-the-Loop (HITL) and persistent memory to an AI agent. Oct 11, 2023 · PythonREPLTool, which includes: Agents: Pandas Agent, Xorbits Agent, Spark Agent, Python Agent Toolkits: python Tools: PythonREPLTool, PythonAstREPLTool We will make the relevant code available in langchain_experimental shortly, with final deprecation from langchain scheduled for 10/27/2023. CrewAI What is better than an agent? Multiple agents. js, a library for building stateful, multi-actor applications with LLMs. Tableau tools for Agentic use cases with Langchain & Langgraph. LangChain implements a standard interface for large language models and related technologies, such as embedding models and vector stores, and integrates with hundreds of providers. The function create_sql_agent you've used in your code is designed to construct a SQL agent from a language model and a toolkit or database. LangChain is an open source framework for building applications based on large language models (LLMs). As a language model integration framework, LangChain's use-cases largely overlap with those of language models in general, including document analysis and summarization, chatbots, and code analysis. This project aims to simplify data manipulation tasks by providing a natural language interface for executing complex pandas operations. Then, you would create an instance of the BaseLanguageModel (or any other specific language model you are using). Contribute to lalolv/AgentsChain development by creating an account on GitHub. Course Website: 📚 deeplearning. Provides a simple interface for natural language queries on invoice data. Copy the . This package provides programmatic interaction with UiPath Cloud Platform services and human-in-the-loop (HITL) semantics through Action Center integration. I want to contribute to the LangGraph. Contribute to jayli/langchain-GLM_Agent development by creating an account on GitHub. I used the GitHub search to find a similar question and LangChain agent usable tool to screen stock data. AIBTC AI Agent Crew is a Python-based project that leverages AI agents to perform various tasks related to Bitcoin and the Stacks blockchain. Azure Database for PostgreSQL for data storage and querying. My objective is to develop an Agent using Langchain, that can take actions on inputs from LLM conversations, and execute various scripts or one-off s Build resilient language agents as graphs. LangGraph — used by Replit, Uber, LinkedIn, GitLab and more — is a low-level orchestration framework for building controllable agents. LangChain / LangGraph SQL Agent Demo This repository demonstrates the use of LangChain and LangGraph for SQL query generation, execution and validation. Jul 23, 2025 · LangChain is an open-source framework designed to simplify the creation of applications using large language models (LLMs). This project demonstrates how to This repository contains implementations of AI email assistants built using LangGraph. For more context please see: #8043 4 Feb 22, 2024 · Checked other resources I added a very descriptive title to this question. The retrieval chat bot manages a chat history and Build resilient language agents as graphs. Contribute to langchain-ai/agent-evals development by creating an account on GitHub. Contribute to langchain-ai/langgraph development by creating an account on GitHub. The core logic, defined in src/react_agent/graph. Please find the This is a starter project to help you get started with developing a RAG research agent using LangGraph in LangGraph Studio. The system remembers which agent was last active, ensuring that on subsequent This project is an AI-powered SQL query agent that can answer natural language questions by querying a SQLite database. LLMs are large deep-learning models pre-trained on large amounts of data that can generate responses to user queries—for example, answering questions or creating images from text-based prompts. It utilizes the LangChain library and various language models, such as ChatGroq and ChatOpenAI, to generate SQL queries and provide responses. LangChain 是一个用于开发由语言模型驱动的应用程序的框架。 我们相信，最强大和不同的应用程序不仅将通过 API 调用语言模型，还将： 数据感知：将语言模型与其他数据源连接在一起。 主动性：允许语言模型与其环境进行交互。 因此，LangChain 框架的设计目标是为了实现这些类型的应用程序。 组件：LangChain 为处理语言模型所需的组件提供模块化的抽象。 LangChain 还为所有这些抽象提供了实现的集合。 这些组件旨在易于使用，无论您是否使用 LangChain 框架的其余部分。 用例特定链：链可以被看作是以特定方式组装这些组件，以便最好地完成特定用例。 这旨在成为一个更高级别的接口，使人们可以轻松地开始特定的用例。 这些链也旨在可定制化。 🦜🔗 Build context-aware reasoning applications. This package is an extension to the This project demonstrates the implementation of intelligent agents using LangChain, showcasing how to create agents that can perform complex tasks by combining multiple tools and reasoning capabilities. A Python SDK that enables developers to build and deploy LangGraph agents to the UiPath Cloud Platform. js project. The assistant can fetch the current time, perform web searches, and create notes based on search results, with in-built test cases to ensure functionality. LangChain is a software framework that helps facilitate the integration of large language models (LLMs) into applications. In this implementation, we save all memories scoped to a configurable userId, enabling Feb 12, 2025 · Streamlit application for querying invoice data using LangChain's pandas DataFrame agent. Nov 9, 2023 · I tried to create a custom prompt template for a langchain agent. Contribute to JeffrinE/Locally-Built-RAG-Agent-using-Ollama-and-Langchain development by creating an account on GitHub. CrewAI is a framework for orchestrating role-playing, autonomous AI agents. It provides a standard interface for chains, many integrations with other tools, and end-to-end chains for common applications. In the agent execution the tutorial use the tools name to tell the agent what tools it must us This is an early experiment, agents do automatic things, here be dragons, run at your own risk. Contribute to langchain-ai/langchain development by creating an account on GitHub. This allows you to verify, if the agent uses the best tool for the question. 🦜🔗 Build context-aware reasoning applications. This template showcases a ReAct agent implemented using LangGraph. ygii wbiefro pnwjeu sgrzg avmev urak mkaufq dloa iyzjmt zrwgedx
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