khoj VS lima

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

I'm a fan of Khoj. Been using it for months. https://github.com/khoj-ai/khoj

https://github.com/khoj-ai/khoj

This is the easiest I found, on here too.

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

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

Self-host your Notion assistant using the instructions here. You'll need Python >= 3.8 to get started.

Here's an early example: https://github.com/khoj-ai/khoj

You can run a virtual machine (e.g. lima) from inside a nix-shell, exactly as you would do with a regular shell.

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)

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

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

If you wish to delve into all the configuration possibilities for Lima VM, you can visit this resource.

I'd say Lima and Colima should be enough for most use cases:

https://lima-vm.io/

https://github.com/abiosoft/colima

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