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- Hacker News
- I'm a huge fan of recall, going to test this out. This looks very interesting.
- Did you mean Recoll (https://www.recoll.org/)?
- This is really cool. Can it play nice with gdrive or Dropbox? For better or worse, that's just where my data lives now but I'd love this layer.by Ozzie_osman
- I use rclone to "mount" them locally. Then it becomes searchable.by linuxrebe1
- Looks good, definitely going to try it. Extra thanks for creating something fully local, we need more projects like this one!by NKosmatos
- thankyouby linuxrebe1
- Many such open source projects already (which is fantastic). I lose track of them.
Today it happened I needed a simple way to embed & query 1TB+ of documents, and I was looking at open source options. Can anyone tell me what their go-to solution is now? Could this be the one?
And what are the key differences vs. other open source RAG tools like kotaemon?
by LawrenceKerr - How do you feel about supporting an S3 compatible target as a feature request?by toomuchtodo
- I'm actually thinking of this for a commercial product feature. However, if you use a tool like Rclone on Windows, Linux or Mac. Mount the s3 bucket and you can then run DocuBrowse as if the s3 bucket were local.by linuxrebe1
- Honestly. This with Paperless-NGX might be game changing if both pointed to the same folder.by nickweb
- Anyone getting a bunch of permission errors when running (e.g. Traceback (most recent call last): File "/Users/tron/Applications/DocuBrowse/venv/lib/python3.9/site-packages/psutil/_psosx.py", line 347, in wrapper return fun(self, args, *kwargs) File "/Users/tron/Applications/DocuBrowse/venv/lib/python3.9/site-packages/psutil/_psosx.py", line 508, in net_connections rawlist = cext.proc_net_connections(self.pid, families, types) PermissionError: [Errno 1] Operation not permitted (originated from proc_pidinfo(PROC_PIDLISTFDS) 1/2)
- I was building for mac on a VM install of OSX. Will take this as a bug, Thanks.by linuxrebe1
- Living in bizarro world of AI. Install open source project, fails, feed into OpenCode w/DeepSeekFlash 4 -> feed error into it get fixed.
The kill_port function only catches ImportError from the psutil block, so when psutil is installed but raises AccessDenied (common on macOS), it crashes instead of falling back to lsof.
In platform_paths.py - add two lines after line 250:
except psutil.Error: pass
Fixed. Now when psutil raises AccessDenied (as happens on macOS without elevated privileges), it falls through to the lsof/fuser fallback instead of crashing. Try docubrowser start again.
- Not a fan of pushing every personal document to someone else's cloud. Nice to see a tool that keeps everything on disk instead.by mune2gu-chan
- Wanted to share Antfly which I think serves a similar niche:
https://github.com/antflydb/antfly
They’ve put a lot of effort into optimizing the local llm pipelines and I have a lot of faith in the devs working on it.
by kamranjon - We need projects like this. Automatically classifying the files is smart.
I'm working on a similar application called Hister (https://github.com/asciimoo/hister). I should borrow some of your ideas. =]
by asciimoo - I just had a wild thought. Combine Hister with my RepoSearch app. Point it at a companies Internal github/gitlab and have a searchable knowledge base of your git repos.by linuxrebe1
- I have not set up Hister yet but it's on my list to try out. How would I do something like host it on my Unraid box but have it index/persist my local MacBook browsing history?by hankbond
- I learned a solution is to turn the documents into vectors in say PostgreSQL (with pgvector) and do a cosine similarity search with a search vector. Doing a search for embed models on HuggingFace shows nomic-ai/nomic-embed-text-v1.5 and Qwen/Qwen3-Embedding-0.6B. I might have used a larger one like Qwen/Qwen3-Embedding-4B.
There's some info for AnythingLLM[0] which supports RAG. AnythingLLM has LanceDB out of the box but also supports others including pgvector.
by karmakaze - I had an issue. A documents folder with over 12k objects in it. A hodgepodge of folders and sub-folders. That over time had created a mess that no amount of file movement was ever going to make it usable. I wanted: 1) To keep my data local 2) be able to filter out PII and other data 3) Be able to find and delete duplicates 4) Get short synopsis of what a document is 5) Semantic and keyword search 6) All of this kept local to me requiring no internet access and no tokens spent to train someone elses AI.
The result I call DocuBrowser and in it's current form is FOSS (GPL-3) licensed for your personal use. The UI is in your browser. The AI models used are held local and are tiny, Available for Linux(RPM,Deb, and tgz) Windows and Mac. Let me know what you think and thanks for taking the time to try it out.
by linuxrebe1 - Personal use? I need this at work, dragging useful info from tarpits like Teams and GitLab.
Also need to search git repos including all branches and history (TIL/xkcd#153'd GitLab's web search can basically only do one branch at a time).
by password4321 - It’s either restricted to personal use, or it’s GPL-3. How can you have both?by fnordian
- Could it be extended so it also extracts pictures from pptx and xlsx and run vision to get a description to be added to the text content before indexing?by bobim
- This looks really cool. Can you tell me the minimum specs required to run this? It would nice if you could add it to the readme as well.by gatnoodle
- Sounds similar to https://docs.paperless-ngx.com/
Key difference I see is that you point it to a folder instead of uploading to a system.
by seb1204