khoj
obsidian-releases
khoj | obsidian-releases | |
---|---|---|
50 | 1,653 | |
4,858 | 8,004 | |
2.8% | 2.9% | |
9.9 | 9.9 | |
about 17 hours ago | 5 days ago | |
Python | JavaScript | |
GNU Affero General Public License v3.0 | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
khoj
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Show HN: I made an app to use local AI as daily driver
There are already several RAG chat open source solutions available. Two that immediately come to mind are:
Danswer
https://github.com/danswer-ai/danswer
Khoj
https://github.com/khoj-ai/khoj
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Ask HN: How do I train a custom LLM/ChatGPT on my own documents in Dec 2023?
I'm a fan of Khoj. Been using it for months. https://github.com/khoj-ai/khoj
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You probably don’t need to fine-tune LLMs
https://github.com/khoj-ai/khoj
This is the easiest I found, on here too.
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Show HN: Khoj – Chat Offline with Your Second Brain Using Llama 2
Thanks for the feedback. Does your machine have a GPU? 32GB CPU RAM should be enough but GPU speeds up response time.
We have fixes for the seg fault[1] and improvement to the query speed[2] that should be released by end of day today[3].
Update khoj to version 0.10.1 with pip install --upgrade khoj-assistant to see if that improves your experience.
The number of documents/pages/entries doesn't scale memory utilization as quickly and doesn't affect the search, chat response time as much
[1]: The seg fault would occur when folks sent multiple chat queries at the same time. A lock and some UX improvements fixed that
[2]: The query time improvements are done by increasing batch size, to trade-off increased memory utilization for more speed
[3]: The relevant pull request for reference: https://github.com/khoj-ai/khoj/pull/393
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A Review: Using Llama 2 to Chat with Notes on Consumer Hardware
We recently integrated Llama 2 into Khoj. I wanted to share a short real-world evaluation of using Llama 2 for the chat with docs use-cases and hear which models have worked best for you all. The standard benchmarks (ARC, HellaSwag, MMLU etc.) are not tuned for evaluating this
- FLaNK Stack Weekly for 17 July 2023
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An open source AI search + chat assistant for your Notion workspace
Self-host your Notion assistant using the instructions here. You'll need Python >= 3.8 to get started.
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When will we get JARVIS?
Here's an early example: https://github.com/khoj-ai/khoj
obsidian-releases
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UX Case Study: Markdown Heading
The closest editor that follows our first principle is Obsidian editor:
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I switched from Notion to Obsidian
The solution was already installed on both my computer and my phone: Obsidian.
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Why single vendor is the new proprietary
> why does open source need to "win"
Open source does not need to win.
But your ability to be in control of your computer needs to be preserved. A proprietary fridge cannot control your diet, while a proprietary App Store can control what software you install on YOUR phone (unless you live in EU, hello DMA!). The tail wags the dog, so to speak. Proprietary software has also been shown to break user workflows or remove functions in an update while leaving users with no choice whatsoever.
One alternative to having open source win is to ensure software must come with a robust warranty and other assurances you expect from the things you buy. EU's CRA will make software vulnerabilities in WiFi routers covered by warranty, for example.
You can also ensure robust and interoperable data storage options. For example, https://obsidian.md/ stores all notes in Markdown, not holding the data hostage in case users will not like how future versions will work. GDPR actually has a provision for data portability (Art. 20), but it does not seem to have a requisite effect on the industry yet.
And until the above issues are solved, open source remains the best way to ensure that a software tail cannot wag your computer dog.
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Ask HN: Has Anyone Trained a personal LLM using their personal notes?
[2] https://obsidian.md/
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Replatforming from Gatsby to Zola!
So I've had my fair share of personal websites and blogs. I have built them on stacks ranging from the most basic HTML and CSS, to hosted frameworks like Wordpress and Laravel, to the more modern single page applications built in Vue and React. For a simple content blog I think you can't go wrong with a Static Site Generator though. These days I am almost exclusively writing everything in Obsidian. Which is great because its all in standard markdown format. This allows for a really neat and easy content publishing workflow.
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Show HN: Godspeed is a fast, 100% keyboard oriented todo app for Mac
Consider making an Obsidian[^1] plugin, or writing to Obsidian-compatible Markdown files :)
[^1]: https://obsidian.md/
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Setting Up Obsidian for Content Planning and Project Management
Obsidian is a writing application created to allow for offline / private note taking in markdown format, in an interface that looks a lot like our regular programming IDE. It is very flexible, with a good collection of community plugins that you can use to customize Obsidian to your heart contents.
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What is Omnivore and How to Save Articles Using this Tool
Obsidian support via our Obsidian Plugin
- Tools that Make Me Productive as a Software Engineer
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Where Is Noether's Principle in Machine Learning?
Thank you!
In the beginning, I used kognise'z water.css [1], so most of the smart decisions (background/text color, margins, line spacing I think) probably come from there. Since then it's been some amount of little adjustments. The font is by Jean François Porchez, called Le Monde Livre Classic [2].
I draft in Obsidian [3] and build the site with a couple python scripts and KaTeX.
[1] https://watercss.kognise.dev/
[2] https://typofonderie.com/fr/fonts/le-monde-livre-classic
[3] https://obsidian.md/
What are some alternatives?
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
Trilium Notes - Build your personal knowledge base with Trilium Notes
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
QOwnNotes - QOwnNotes is a plain-text file notepad and todo-list manager with Markdown support and Nextcloud / ownCloud integration.
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
vimwiki - Personal Wiki for Vim
llama-cpp-python - Python bindings for llama.cpp
TiddlyWiki - A self-contained JavaScript wiki for the browser, Node.js, AWS Lambda etc.
obsidian-ava - Quickly format your notes with ChatGPT in Obsidian
AppFlowy - AppFlowy is an open-source alternative to Notion. You are in charge of your data and customizations. Built with Flutter and Rust.
logseq-plugin-gpt3-openai - A plugin for GPT-3 AI assisted note taking in Logseq
Mermaid - Edit, preview and share mermaid charts/diagrams. New implementation of the live editor.