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Csv Loader Langchain, Otherwise file_path will be used as the source for all documents created from the csv file. g. document_loaders import UnstructuredExcelLoader from langchain_text_splitters import RecursiveCharacterTextSplitter from langchain_community. csv_loader in langchain_community. CSVLoader in langchain_community. Jan 17, 2026 · Master LangChain document loaders. This is useful when using documents loaded from CSV files for chains that answer questions using sources. Python API reference for document_loaders. Nov 14, 2025 · A modern and accurate guide to LangChain Document Loaders. csv_loader. 2+, how to load PDFs, CSVs, YouTube transcripts, and websites, and how to use them in real RAG pipelines. Reference Docs Unified API reference documentation for LangChain, LangGraph, Deep Agents, LangSmith, and integrations. Nov 6, 2025 · LangChain Document Loaders convert data from various formats such as CSV, PDF, HTML and JSON into standardized Document objects. py at main · Mailtosskumar/DocRead-AI import os import tempfile import streamlit as st from pathlib import Path import anthropic from langchain_community. Compose exactly the agent your use case needs from model, tools, prompt, and middleware. py Loads documents from: * data/sampledocs * data/uploads Creates: * Embeddings * Chroma Vector Database Supported formats: * PDF * TXT * DOCX * Markdown * CSV """ # built-in python libraries import os # for file/folder operations import shutil from pathlib import Path # easier way to work with file paths # LangChain document loaders (to read different file formats) from langchain 2 days ago · AI-powered PDF chat app using RAG, LangChain & Llama 3 - DocRead-AI/app. vectorstores import FAISS from About AI agent that answers plain-English questions about CSV and Excel files using LangChain, LangGraph, and Groq I went beginner → advanced on this in Part 2 of my RAG from Scratch series — from a single open () call to building a universal loader across PDFs, web pages, and structured data. Looking for guides, tutorials, and conceptual docs? Visit the main documentation site. Many providers have a dedicated langchain-<provider> package that implements one or more of LangChain’s standard About AI 数据分析 Agent | 独立开发 LangChain · LangGraph · DeepSeek · FastAPI · Streamlit · pandas - 基于 LangChain ReAct Agent 实现自然语言数据分析，用户上传 CSV 后用中文提问即可完成查询与统计 - 设计双工具 Agent 工作流：load_csv 解析文件与元信息提取，execute_code 让 LLM 自主生成 pandas 代码并执行 - 集成 DeepSeek 大 LangSmith Many of the applications you build with LangChain will contain multiple steps with multiple invocations of LLM calls. , OpenAI, Anthropic, Google). Contribute to campusx-official/langchain-document-loaders development by creating an account on GitHub. The best way to do this is with LangSmith. . Learn to process CSV, Excel, and structured data efficiently with practical tutorials to enhance your LLM apps. These objects contain the raw content, metadata and optional identifiers, allowing LLMs to process and analyze the data efficiently. Browse Python and TypeScript packages, explore classes, functions, and types across the entire LangChain ecosystem. As these applications get more complex, it becomes crucial to be able to inspect what exactly is going on inside your chain or agent. Codes related to my LangChain playlist. A provider is a company or platform that hosts AI models and exposes them through an API (e. LangChain offers an extensive ecosystem with 1000+ integrations across chat & embedding models, tools & toolkits, document loaders, vector stores, and more. Learn how loaders work in LangChain 0. """ ingest. document_loaders import ( PyPDFLoader, Docx2txtLoader, TextLoader, CSVLoader, ) from langchain_community. Use the source_column argument to specify a column to be set as the source for the document created from each row. LangChain provides create_agent: a minimal, highly configurable agent harness. Part of the LangChain ecosystem. CSV Loader # Load csv files with a single row per document. Python API reference for document_loaders. whd, 0jdsc, er, d75eui, 88s, t37sch, e7lucwh, 3p0uger, mdgspjv, ylqr1za,