khoj
lima
khoj | lima | |
---|---|---|
50 | 106 | |
4,858 | 13,972 | |
2.8% | 1.0% | |
9.9 | 9.7 | |
about 11 hours ago | 5 days ago | |
Python | Go | |
GNU Affero General Public License v3.0 | Apache License 2.0 |
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
lima
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Colima k8s nix setup
You can run a virtual machine (e.g. lima) from inside a nix-shell, exactly as you would do with a regular shell.
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Ask HN: Startup Devs -What's your biggest pain while managing cloud deployments?
for others similarly curious, here's an example of the thing: https://github.com/noop-inc/template-java-spring-boot/blob/m...
they seem to be using the excellent lima <https://github.com/lima-vm/lima#readme> for booting on macOS; I run colima for its containerd and k8s support but strongly recommend both projects $(brew install lima colima)
- macOS 14.4 causes JVM crashes
- Lima launches Linux virtual machines for macOS
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Simulate an Ubuntu-like VM inside macOS
Lima is what I use as well. It's quick and easy to just fire up a VM with default settings, but also very easy to configure with different file sharing options, port forwarding, different linux distributions, etc. (their examples are also pretty good IMO [1]).
In particular I use it to run an amd64 VM, which I need to run a stubborn service for work that doesn't run on arm CPUs.
[1] https://github.com/lima-vm/lima/tree/master/examples
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Why are Apple Silicon VMs so different?
Lima (1) is a project that packages Linux distros for MacOS and executes them via qemu in the backend. Maybe you could solve your problem by launching one of their vms and inspecting the command line it generates. You might find an option you were missing.
(1) https://github.com/lima-vm/lima
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The beginning of my eBPF Journey - Kprobe Adventures with BCC
If you wish to delve into all the configuration possibilities for Lima VM, you can visit this resource.
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UTM – Virtual Machines for iOS and macOS
I'd say Lima and Colima should be enough for most use cases:
https://lima-vm.io/
https://github.com/abiosoft/colima
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Lima: Linux Virtual Machines on macOS
Github: https://github.com/lima-vm/lima
Lima wraps QEMU in a simple CLI, with neat features for container users, such as filesystem sharing and automatic localhost port forwarding, as well as DNS and proxy propagation for enterprise networks. Rancher Desktop wraps Lima with k3s integration and GUI.
Talks: https://github.com/lima-vm/lima/blob/master/docs/talks.md
- FLaNK Stack Weekly for 17 July 2023
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
colima - Container runtimes on macOS (and Linux) with minimal setup
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
multipass - Multipass orchestrates virtual Ubuntu instances
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
podman - Podman: A tool for managing OCI containers and pods.
llama-cpp-python - Python bindings for llama.cpp
Docker-OSX - Run macOS VM in a Docker! Run near native OSX-KVM in Docker! X11 Forwarding! CI/CD for OS X Security Research! Docker mac Containers.
obsidian-ava - Quickly format your notes with ChatGPT in Obsidian
UTM - Virtual machines for iOS and macOS
logseq-plugin-gpt3-openai - A plugin for GPT-3 AI assisted note taking in Logseq
minikube - Run Kubernetes locally