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Alternatives

Products that do what Cinnamon/kotaemon does

An open-source RAG-based tool for chatting with documents.

  1. 1
    Cwiki130

    A Command line interface for searching Wikipedia!

    2017

  2. 2
    Amium325

    A collaboration app that brings conversation to your files

    2016

  3. 3KA
  4. 4

    Open-source file manager for creative people

    2025

  5. 5KN
  6. 6
    Fluent119

    Agentic AI in Any Mac App. Now with Native RAG

    Jan 2026

  7. 7

    A tool that generates placeholder texts.

    2022

  8. 8
    Paletto89

    Typography for notes, diary, journal

    2016

  9. 9NE
  10. 10WA
  11. 11

    Multimodal document parser designed for RAG systems

    2025

  12. 12PA
  13. 13
    Doks41

    RAG Creation Tool

    2025

  14. 14

    Enterprise grade solution for building RAG

    2024

  15. 15TT
  16. 16M

    A program I used stopped getting updates, so I made my own version of it. It's a fast plaintext search utility in a GUI. It's great for finding text in code projects, log files, configs, anything plaintext! Available for Windows, macOS, and Linux. Free version limitations are a splash screen and limited history entries.

    Nov 2025 · ksylvestre.itch.io

  17. 17OS
  18. 18KD
  19. 19IB

    Byte-Vision is a privacy-first document intelligence platform that transforms static documents into an interactive, searchable knowledge base. Built on Elasticsearch with RAG (Retrieval-Augmented Generation) capabilities, it offers document parsing, OCR processing, and conversational AI interfaces.

    2025 · github.com

  20. 20FA
  21. 21JO
  22. 22IB

    hi all, i just released Kanba, a self-hostable, open source project management tool built for developers and small teams who prefer to own their tools. - no vendor lock-in - fully local data (via Supabase or your own backend) - MIT licensed - lightweight, minimal UI. think Trello, but open and yours tech stack: React + Tailwind + Supabase github link on comments would love feedback or ideas. contributions welcome!

    2025

  23. 23PR

    Hi HN, While building RAG agents, I noticed a lot of token budget was wasted on formatting overhead (HTML tags, JSON structure, whitespace). Existing solutions felt too heavy (often requiring torch&#x2F;transformers), so I wrote this lightweight, zero-dependency library to solve it. It includes strategies for context packing, PII redaction, and tool output compression. Benchmarks show it can save ~15% of tokens with negligible latency overhead (<0.5ms). Happy to answer any questions!

    Dec 2025 · github.com

  24. 24MD

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