TMtmshapland·Oct 31, 2024
Check out Khoj. https://github.com/khoj-ai/khoj
In Ask HN: Local RAG with private knowledge basekhoj-ai
khoj
Python2022–2024
khoj-ai / khoj
khoj
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.
AI & Machine LearningDeveloper ToolsWeb DevelopmentCreative & MediaProductivitySelf-hostedLearning & ReferenceSearch & Information RetrievalCommunication & Social
14Distinct people
25Mentions
0Explicit recommenders
38.1KGitHub stars
What to know before exploring
What it is
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.
GitHub
Where it is used
No documented product use was verified in the last source check.
What people are saying
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Also in these discussions
- onyx-dot-app/onyx · linked in 2 of the same discussions
Mentioned in the same Hacker News threads. That is not proof they are substitutes.
This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by month25 dated mentions
Observed mentions: 2022-09-07 21:34:42 UTC to 2024-10-31 00:02:41 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| Sep 2022 | 2022-09-01 00:00:00 UTC | 2022-10-01 00:00:00 UTC | 2 | 2 | 0 |
| Oct 2022 | 2022-10-01 00:00:00 UTC | 2022-11-01 00:00:00 UTC | 0 | 0 | 0 |
| Nov 2022 | 2022-11-01 00:00:00 UTC | 2022-12-01 00:00:00 UTC | 0 | 0 | 0 |
| Dec 2022 | 2022-12-01 00:00:00 UTC | 2023-01-01 00:00:00 UTC | 0 | 0 | 0 |
| Jan 2023 | 2023-01-01 00:00:00 UTC | 2023-02-01 00:00:00 UTC | 1 | 0 | 1 |
| Feb 2023 | 2023-02-01 00:00:00 UTC | 2023-03-01 00:00:00 UTC | 2 | 0 | 2 |
| Mar 2023 | 2023-03-01 00:00:00 UTC | 2023-04-01 00:00:00 UTC | 1 | 1 | 0 |
| Apr 2023 | 2023-04-01 00:00:00 UTC | 2023-05-01 00:00:00 UTC | 0 | 0 | 0 |
| May 2023 | 2023-05-01 00:00:00 UTC | 2023-06-01 00:00:00 UTC | 0 | 0 | 0 |
| Jun 2023 | 2023-06-01 00:00:00 UTC | 2023-07-01 00:00:00 UTC | 0 | 0 | 0 |
| Jul 2023 | 2023-07-01 00:00:00 UTC | 2023-08-01 00:00:00 UTC | 12 | 1 | 11 |
| Aug 2023 | 2023-08-01 00:00:00 UTC | 2023-09-01 00:00:00 UTC | 2 | 0 | 2 |
| Sep 2023 | 2023-09-01 00:00:00 UTC | 2023-10-01 00:00:00 UTC | 0 | 0 | 0 |
| Oct 2023 | 2023-10-01 00:00:00 UTC | 2023-11-01 00:00:00 UTC | 0 | 0 | 0 |
| Nov 2023 | 2023-11-01 00:00:00 UTC | 2023-12-01 00:00:00 UTC | 0 | 0 | 0 |
| Dec 2023 | 2023-12-01 00:00:00 UTC | 2024-01-01 00:00:00 UTC | 2 | 0 | 2 |
| Jan 2024 | 2024-01-01 00:00:00 UTC | 2024-02-01 00:00:00 UTC | 0 | 0 | 0 |
| Feb 2024 | 2024-02-01 00:00:00 UTC | 2024-03-01 00:00:00 UTC | 1 | 0 | 1 |
| Mar 2024 | 2024-03-01 00:00:00 UTC | 2024-04-01 00:00:00 UTC | 0 | 0 | 0 |
| Apr 2024 | 2024-04-01 00:00:00 UTC | 2024-05-01 00:00:00 UTC | 0 | 0 | 0 |
| May 2024 | 2024-05-01 00:00:00 UTC | 2024-06-01 00:00:00 UTC | 1 | 0 | 1 |
| Jun 2024 | 2024-06-01 00:00:00 UTC | 2024-07-01 00:00:00 UTC | 0 | 0 | 0 |
| Jul 2024 | 2024-07-01 00:00:00 UTC | 2024-08-01 00:00:00 UTC | 0 | 0 | 0 |
| Aug 2024 | 2024-08-01 00:00:00 UTC | 2024-09-01 00:00:00 UTC | 0 | 0 | 0 |
| Sep 2024 | 2024-09-01 00:00:00 UTC | 2024-10-01 00:00:00 UTC | 0 | 0 | 0 |
| Oct 2024 | 2024-10-01 00:00:00 UTC | 2024-11-01 00:00:00 UTC | 1 | 0 | 1 |
What Hacker News says
25 sourcesRelevant for OP's requirement of AI: https://github.com/khoj-ai/khoj
In Ask HN: Looking for a simple note taking toolThere 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
In Show HN: I made an app to use local AI as daily driverI'm a fan of Khoj. Been using it for months. https://github.com/khoj-ai/khoj
In Ask HN: How do I train a custom LLM/ChatGPT on my own documents in Dec 2023?Great job. This is a relatively crowded area, particularly RAG style chat systems. It might be nice for SecureAI to call out what makes their product different from other open source players in the same space, specifically Khoj and Danswer, both of which allow you to chat with your documents, offer network authentication, and allow you to plug in your own LLM.
Danswer
https://github.com/danswer-ai/danswer
Khoj
https://github.com/khoj-ai/khoj
In Show HN: Open source alternative to ChatGPT and ChatPDF-like AI toolshttps://github.com/khoj-ai/khoj
This is the easiest I found, on here too.
In You probably don’t need to fine-tune an LLMThanks 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 later today 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
In Show HN: Khoj – Chat offline with your second brain using Llama 2Thanks for the feedback! Much appreciated.
I responded in the issue, but I'll paste here as well for those also curious:
Khoj does not collect any search or chat queries. As mentioned in the docs, you can see our telemetry server[1]. If you see anything amiss, point it out to me and I'll hotfix it right away. You can see all the telemetry metadata right here[2].
[1]: https://github.com/khoj-ai/khoj/tree/master/src/telemetry
[2]: https://github.com/khoj-ai/khoj/blob/master/src/khoj/routers...
Configuration with the `docker-compose` setup is a little bit particular, see the issue^ for details.
Thanks for the reference points for GPU integration! Just to clarify, we do use GPU optimization for indexing, but not for local chat with Llama. We're looking into getting that working.
In Show HN: Khoj – Chat offline with your second brain using Llama 2Darn, I've seen this error a couple of times. Can you drop a couple of details in this Github issue? https://github.com/khoj-ai/khoj/issues/391
I'm particularly interested in your OS/build environment.
In Show HN: Khoj – Chat offline with your second brain using Llama 2I've been playing with Khoj for the past day - it's really neat, well done!
A few observations:
1. Telemetry is enabled by default, and may contain the API and chat queries. I've logged an issue for this along with some suggestions here: https://github.com/khoj-ai/khoj/issues/389
2. It would be advantageous to have configuration in the UI rather than baking it's YAML into the container image. (added a note on that in the aforementioned issue on Github).
3. It's not clear if you can bring your own models, e.g. can I configure a model from huggingface/gpt4all? if so, will it be automatically downloaded based on the name or should I put the .bin (and yaml?) in a volume somewhere?
4. AMD GPU/APU acceleration (CLBLAS) would be really nice, I've logged an issue for this feature request as well. https://github.com/khoj-ai/khoj/issues/390
In Show HN: Khoj – Chat offline with your second brain using Llama 2Yeah, the gpt4all project is super neat. If folks are inclined enough, it should be fairly straightforward for you to clone the Khoj project and swap out the model used. You'd have to update the model type in a few places, but should be easy enough just with normal string/keyword search. Then run it directly from inside your machine. You will, however, have to go in and modify the prompt structure to fit the model's expectation. Some guidance on that in this PR with Falcon: https://github.com/khoj-ai/khoj/pull/330/files#diff-7fa11396...
I'll provide my insight from experimentation integrating Llama V2/GPT4All into Khoj -- Falcon 7b is probably the runner up in models that can be supported on consumer hardware, and it really wasn't good enough (for me) on my machine to be useful. The token consumption with personal notes context is too lar
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ge, and the content too variable for a small model like that to be able to understand it. It's fine if you're just doing normal question-answering back and forth, but you don't need Khoj for that.
Yes, we hope to get to it soon! This has been an ask on our Github since a while[1]
[1]: https://github.com/khoj-ai/khoj/issues/141
In Show HN: Khoj – Chat offline with your second brain using Llama 2The point of gpt4all is that you can change the model with minimal breaking. You should be able to change this line https://github.com/khoj-ai/khoj/blob/master/src/khoj/process... to the model you want. You'll need to build your own local image with docker-compose but should be relatively straight forward.
In Show HN: Khoj – Chat offline with your second brain using Llama 2Thanks!
We've just been testing integrating over voice, whatsapp over the last few days[1][2] :)
[1]: https://github.com/khoj-ai/khoj/tree/khoj-chat-over-whatsapp...
[2]: https://github.com/khoj-ai/khoj/compare/master...features/wh...
In Show HN: Khoj – Chat offline with your second brain using Llama 2Show HN: Khoj – Chat offline with your second brain using Llama 2
Hi folks, we're Debanjum and Saba. We created Khoj as a hobby project 2+ years ago because: (1) Search on the desktop sucked; we just had keyword search on the desktop vs google for the internet; and (2) Natural language search models had become good and easy to run on consumer hardware by this point.
Once we made Khoj search incremental, I completely stopped using the default incremental search (C-s) in Emacs. Since then Khoj has grown to support more content types, deeper integrations and chat (using ChatGPT). With Llama 2 released last week, chat models are finally good and easy enough to use on consumer hardware for the chat with docs scenario.
Khoj is a desktop application to search and chat with your personal notes, documents and images. It is accessible from within Emacs, Obsidian or your Web browser. It works with org-mode, markdo
Read the rest
wn, pdf, jpeg files and notion, github repositories. It is open-source and can work without internet access (e.g on a plane).
Our chat feature allows you to extract answers and create content from your existing knowledge base. Example: "What was that book Trillian mentioned at Zaphod's birthday last week". We personally use the chat feature regularly to find links, names and addresses (especially on mobile) and collate content across multiple, messy notes. It works online or offline: you can chat without internet using Llama 2 or with internet using GPT3.5+ depending on your requirements.
Our search feature lets you quickly find relevant notes, documents or images using natural language. It does not use the internet. Example: Search for "bought flowers at grocery store" will find notes about "roses at wholefoods".
Quickstart:
pip install khoj-assistant && khoj
See https://docs.khoj.dev/#/setup for detailed instructions
We also have desktop apps (in beta) at https://github.com/khoj-ai/khoj/releases/tag/0.10.0 if you want to try them out.
Please do try out Khoj and let us know if it works for your use cases? Looking forward to the feedback!
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