Enterprise DNA
O Open Source Orchestration medium

ChatFiles

by Community

Document Chatbot — multiple files. Powered by GPT / Embedding.

C

OSS

ChatFiles

Added 1 June 2026

#chatbot #chatfile #chatgpt #chatgpt-api #chatpdf

Overview

ChatFiles is an open-source document chatbot that allows users to upload multiple files and query them using GPT and embedding models. It processes and indexes documents to enable conversational retrieval of information across uploaded content.

Best for

Best for
Developers needing a simple, customizable tool for document-based question answering

Use cases

  • Extract answers from multiple uploaded PDFs or text documents
  • Build a conversational interface for document-based Q&A
  • Prototype retrieval-augmented generation workflows

Notes

ChatFiles is an open-source document chatbot that allows users to upload multiple files and query them using GPT and embedding models. It processes and indexes documents to enable conversational retrieval of information across uploaded content.

3,349 stars on GitHub. Last updated 2024-12-17. Licensed MIT.

Use cases

  • Extract answers from multiple uploaded PDFs or text documents
  • Build a conversational interface for document-based Q&A
  • Prototype retrieval-augmented generation workflows

Pros

  • Free and open-source with TypeScript codebase for easy customization
  • Supports multiple file uploads simultaneously for broader context
  • Leverages GPT and embedding models for accurate retrieval

Cons

  • Requires self-hosting and API keys for underlying models
  • No built-in support for non-text file types like images or spreadsheets
  • Community-maintained with limited documentation compared to commercial alternatives

Indexed from awesome-langchain and enriched against its public facts.

Pros

  • Free and open-source with TypeScript codebase for easy customization
  • Supports multiple file uploads simultaneously for broader context
  • Leverages GPT and embedding models for accurate retrieval

Cons

  • Requires self-hosting and API keys for underlying models
  • No built-in support for non-text file types like images or spreadsheets
  • Community-maintained with limited documentation compared to commercial alternatives