reor VS obsidian-copilot

Compare reor vs obsidian-copilot and see what are their differences.

reor

Self-organizing AI note-taking app that runs models locally. (by reorproject)
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Source Code
reorproject.org
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obsidian-copilot

🤖 A prototype assistant for writing and thinking (by eugeneyan)
Assistant generative-ai llm Obsidian Plugin retrieval-augmented-generation large-language-models
Source Code
eugeneyan.com
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reor obsidian-copilot
7 5
4,235 440
7.9% -
9.9 7.3
6 days ago 2 months ago
TypeScript Python
GNU Affero General Public License v3.0 Apache License 2.0
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reor

Posts with mentions or reviews of reor. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-03.

obsidian-copilot

Posts with mentions or reviews of obsidian-copilot. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-03.
  • Ask HN: Has Anyone Trained a personal LLM using their personal notes?
    10 projects | news.ycombinator.com | 3 Apr 2024
    hadn't seen your repo yet [1] - adding it to my list right now.

    Your blog post is really neat on top - thanks for sharing

    https://github.com/eugeneyan/obsidian-copilot

  • Obsidian-Copilot: A Prototype Assistant for Writing and Thinking
    1 project | /r/patient_hackernews | 13 Jun 2023
    1 project | /r/hackernews | 13 Jun 2023
    5 projects | news.ycombinator.com | 13 Jun 2023
    Um... can someone explain what this actually does?

    In the video the user chooses the 'Copilot: Draft' action, and wow, it generates code...

    ...but, the 'draft' action [1] calls `/get_chunks` and then runs 'queryLLM' [2] which then just invokes 'https://api.openai.com/v1/chat/completions' directly.

    So, generating text this way is 100% not interesting or relevant.

    What's interesting here is how it's building the prompt to send to the openai-api.

    So... can anyone shed some light on what the actual code [3] in get_chunks() does, and why you would... hm... I guess, do a lookup and pass the results to the openai api, instead of just the raw text?

    The repo says: "You write a section header and the copilot retrieves relevant notes & docs to draft that section for you.", and you can see in the linked post [4], this is basically what the OP is trying to implement here; you write 'I want X', and the plugin (a bit like copilot) does a lookup of related documents, crafts a meta-prompt and passes the prompt to the openai api.

    ...but, it doesn't seem to do that. It seems to ignore your actual prompt, lookup related documents by embedding similarity... and then... pass those documents in as the prompt?

    I'm pretty confused as to why you would want that.

    It basically requires that you write your prompt separately before hand, so you can invoke it magically with a one-line prompt later. Did I misunderstand how this works?

    [1] - https://github.com/eugeneyan/obsidian-copilot/blob/bdabdc422...

    [2] - https://github.com/eugeneyan/obsidian-copilot/blob/bdabdc422...

    [3] - https://github.com/eugeneyan/obsidian-copilot/blob/main/src/...

    [4] - https://eugeneyan.com/writing/llm-experiments/#shortcomings-...

What are some alternatives?

When comparing reor and obsidian-copilot you can also consider the following projects:

pong-wars

obsidian-smart-connections - Chat with your notes & see links to related content with AI embeddings. Use local models or 100+ via APIs like Claude, Gemini, ChatGPT & Llama 3

obsidian-releases - Community plugins list, theme list, and releases of Obsidian.

llmware - Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.

Deep_Object_Pose - Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)

tonic_validate - Metrics to evaluate the quality of responses of your Retrieval Augmented Generation (RAG) applications.

get-the-news-rss-atom-feed-summary - Get a summary of the most recent news from an RSS or Atom feed using Amazon Bedrock.

chroma-langchain

java-snapshot-testing - Facebook style snapshot testing for JAVA Tests

ResuLLMe - Enhance your résumé with Large Language Models

llm-classifier - Classify data instantly using an LLM

markdown-embeddings-search - Obisidan notes to pinecone embeddings plus other files in effor to learn llama_index

reor vs pong-wars obsidian-copilot vs obsidian-smart-connections reor vs obsidian-releases obsidian-copilot vs llmware reor vs Deep_Object_Pose obsidian-copilot vs tonic_validate reor vs get-the-news-rss-atom-feed-summary obsidian-copilot vs chroma-langchain reor vs java-snapshot-testing obsidian-copilot vs ResuLLMe reor vs llm-classifier obsidian-copilot vs markdown-embeddings-search