Langchain excel agent. With LanceDB, performing direct operations on large-scale columnar data efficiently. Chains If you are just getting started, and you have relatively small/simple tabular data, you should get started with chains. Aug 28, 2023 · from typing import Any, List, Optional, Union from langchain. agent_toolkits. The agent generates Pandas queries to analyze the dataset. document_loaders. agents import create_pandas_dataframe_agent import Pandas. from langchain. xls files. llms import OpenAI from langchain. Load the data and create the Agent. To load the data, I’ve prepared a function that allows you to upload an Excel file from your local disk. Jul 7, 2025 · Enter LangChain, a powerful framework designed to build applications using large language models (LLMs). agent import AgentExecutor from langchain. Nov 2, 2024 · Photo by Andrew Neel on Unsplash The Big Picture: What Does This Code Do? This script allows you to: Load data from an Excel file into a DataFrame. We will use create_csv_agent to build our agent. Nov 7, 2024 · LangChain’s CSV Agent simplifies the process of querying and analyzing tabular data, offering a seamless interface between natural language and structured data formats like CSV files. pandas. This workflow creates an assistant to summarize Hacker News articles using the llm_chat function. Lazy loading is a technique used in LangChain to improve performance and efficiency by loading only the necessary portions of an Excel file, reducing memory consumption. The loader works with both . The page content will be the raw text of the Excel file. agents. UnstructuredExcelLoader( file_path: str | Path, mode: str = 'single', **unstructured_kwargs: Any, ) [source] # Load Microsoft Excel files using Unstructured. excel. If you use the loader in "elements" mode, an HTML representation of the Excel file will be available in the document metadata under the textashtml key. . This tutorial covers how to create an agent that performs analysis on the Pandas DataFrame loaded from CSV or Excel files. agents. Learn how to effortlessly extract insights from CSV and Excel files using LangChain's conversational interface Aug 24, 2023 · We wrote about our latest thinking on Q&A over csvs on the blog a couple weeks ago, and we loved reading Chris's exploration of working with csvs and LangChain using agents, chains, RAG, and metadata. This current implementation of a loader using Document Intelligence can incorporate content page-wise and turn it into LangChain documents. Universal Excel Agent This project is an AI agent built with LangChain and LangGraph that can intelligently interact with and modify Excel files based on natural language commands. Like other Unstructured loaders, UnstructuredExcelLoader can be used in both “single” and “elements” mode. xlsx and . The application leverages the LangChain Groq model for natural language processing and pandasai for smart dataframe operations 这篇文章我们利用大模型、Agent以及LangChain框架来实现 与CSV文件的直接“对话”，并且非常cool的一点，实现这一切仅仅需要两行代码。 我们所用到的方法是langchain中的create_csv_agent，它可以通过agent的方式实现与csv文件的对话。 UnstructuredExcelLoader # class langchain_community. Chains are a sequence of predetermined steps The UnstructuredExcelLoader is used to load Microsoft Excel files. Feb 5, 2025 · LangChain's CSV Agent simplifies querying and analyzing tabular data, providing a seamless interface between natural language and structured data formats like CSV and Excel files. Sep 11, 2024 · Imagine being able to ask questions directly to your Excel data, as if you’re having a conversation with a financial analyst. This page covers all resources available in LangChain for working with data in this format. language_model import BaseLanguageModel from langchain. Aug 5, 2023 · Pandas: The well-known library for working with tabular data. 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. If you use the loader in “elements” mode Tabular Question Answering Lots of data and information is stored in tabular data, whether it be csvs, excel sheets, or SQL tables. excel import UnstructuredExcelLoader def create_excel_agent ( Jun 29, 2024 · LangChain provides tools to create agents that can interact with CSV files. The default output format is markdown, which can be easily chained with MarkdownHeaderTextSplitter for semantic document chunking. agent_toolkits import create_csv_agent This Streamlit application allows users to upload an Excel file, query the data using natural language, and receive responses in the form of text or visual plots. document_loaders. from langchain_experimental. schema. The LangChain function becomes part of the workflow with the Restack decorator. By integrating LangChain with Excel, you can create intelligent agents that understand natural language instructions and perform spreadsheet tasks automatically. base import create_pandas_dataframe_agent from langchain. Set up an AI-driven agent (using LangChain and Jun 29, 2024 · In this blog, we’ll explore how to build a chat application that interacts with CSV and Excel files using LanceDB’s hybrid search capabilities. tsdq fpfto ojsin khposu zgjv ttlni kqlo ecmv qag mwxzik