Robby-Chatbot
by Community
AI chatbot 🤖 for chat with CSV, PDF, TXT files 📄 and YTB videos 🎥 | using Langchain🦜 | OpenAI | Streamlit ⚡
OSS
Robby-Chatbot
Added 1 June 2026
Overview
Robby-Chatbot is an open-source chatbot built with Langchain, OpenAI, and Streamlit that lets users chat with CSV, PDF, TXT files and YouTube videos. It processes uploaded documents and video transcripts to answer questions conversationally.
Best for
Best for
Developers and researchers who need a quick, customizable chatbot for document and video Q&A
Use cases
- Extract insights from PDF reports or CSV data by asking natural language questions
- Summarize or query the content of YouTube videos without watching them
- Quickly search through multiple text files for specific information
Notes
Robby-Chatbot is an open-source chatbot built with Langchain, OpenAI, and Streamlit that lets users chat with CSV, PDF, TXT files and YouTube videos. It processes uploaded documents and video transcripts to answer questions conversationally.
816 stars on GitHub. Last updated 2026-02-21. Licensed Apache-2.0.
Use cases
- Extract insights from PDF reports or CSV data by asking natural language questions
- Summarize or query the content of YouTube videos without watching them
- Quickly search through multiple text files for specific information
Pros
- Supports multiple file formats and YouTube videos in one interface
- Built on popular, well-documented libraries (Langchain, Streamlit) making it easy to extend
- Free and open-source with an active community (816 GitHub stars)
Cons
- Requires an OpenAI API key, incurring usage costs
- Limited to the capabilities of the underlying LLM (no local model support)
- May struggle with very large files or complex multi-document queries
Indexed from awesome-langchain and enriched against its public facts.
Pros
- Supports multiple file formats and YouTube videos in one interface
- Built on popular, well-documented libraries (Langchain, Streamlit) making it easy to extend
- Free and open-source with an active community (816 GitHub stars)
Cons
- Requires an OpenAI API key, incurring usage costs
- Limited to the capabilities of the underlying LLM (no local model support)
- May struggle with very large files or complex multi-document queries
Pairs with
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