A Langchain app that allows you to ask questions to a CSV file

This project is a web-based AI chatbot an implementation of the Retrieval-Augmented Generation (RAG) model, built using Streamlit and Langchain. It answers questions relevant to the data provided by the user. The chatbot utilizes OpenAI's GPT-4 model and accepts data in CSV format. Users can upload multiple CSV files, clear uploaded files, ask ques

A RAG (Retrieval-Augmented Generation) AI chatbot that allows users to upload multiple document types (PDF, DOCX, TXT, CSV) and ask questions about the content. Built using LangChain, Hugging Face embeddings, and Streamlit, it enables efficient document search and question answering using vector-based retrieval. 🚀

A GenAI Based CSV File and using OpemAI API and Langchain we get an answer about question that we asked related to that csv file

AI Data Analysis Tool – Transform raw datasets into actionable insights with AI. Upload CSV, Excel, JSON, or Parquet files, ask questions, and get instant summaries, visualizations, and recommendations. Built with FastAPI, LangChain, Gemini AI, and Pandas, it delivers smart, fast, and user-friendly data analysis.

Basic usage for langchain in node js to ask CSV data

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⚡️ Local RAG API using FastAPI + LangChain + Ollama | Upload PDFs, DOCX, CSVs, XLSX and ask questions using your own documents — fully offline!

This repository contains a Python-based web application, "Ask Your CSV", which allows users to upload CSV files and ask questions about the data within them. Utilizing OpenAI's language model, the application intelligently generates responses, providing a user-friendly interface for data exploration and analysis.

Using langchain to build a chatbot which can ask a CSV file.

A wesbite that allows user to upload csv and ask questions about their csv using Langchain open ai agents

CSV to SQLite converter with natural language querying powered by LangChain. Load any CSV, auto-detect types and delimiters, then ask questions in plain language.

Universal Document AI - Local RAG system. Upload PDFs, DOCX, CSVs, and code files. Ask questions and get LLM-powered answers using LangChain, ChromaDB, Ollama, and Streamlit.

This project enables natural language querying of multiple CSV files using LangChain and Groq API. Users can upload CSV files and ask plain English questions, which are dynamically converted into Pandas commands and executed on the dataset.

A modern Streamlit web app that lets anyone analyze CSV data using natural language — powered by LangChain, OpenAI, and Python. Upload your CSV, ask plain-English questions, and get instant insights, visualizations, and code, all in a sleek, interactive interface.

A Streamlit application that lets you _chat with_ IAEA ITDB fact‑sheet PDFs. Upload a sheet, extract structured JSON, ask free‑form questions, download CSV, and visualise key metrics — all powered by Azure OpenAI, LangChain, and FAISS.

A tool for securely summarising focus group transcripts using a locally hosted LangChain's RAG model. Upload CSV files with transcripts, ask questions or request summaries, and gather user feedback. Visualise feedback trends over the last 4 weeks for insights. Ideal for analysing and summarising qualitative data.

An AI-powered data analysis web application that allows users to upload CSV files and interact with their data using natural language. Built with Streamlit, Pandas, LangChain, and Groq’s LLaMA-3.3 model, this tool enables users to ask questions, filter data, and generate visualizations without writing Python code.

This is my second personal project: a simple AI chatbot where you can upload any CSV or Excel file and ask questions about the data. Built with Python, Streamlit, LangChain, FAISS, and OpenAI. It’s designed to make exploring your data fun and easy - even if you’re not a tech expert!

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using langchain agents to ask chatgpt questions about the specified csv.

A tutorial showing how to use an Azure resource group for your chatbot.

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Ask you file (csv, parquet) questions using Langchain, DuckDB and OpenAI

A Langchain app that allows you to ask questions to a CSV file

Sample on Langchain using vertex and pandas frame to load CSV data and ask questions.