waggle-dance
paperless-ngx
waggle-dance | paperless-ngx | |
---|---|---|
5 | 213 | |
150 | 17,877 | |
- | 2.6% | |
9.9 | 9.9 | |
7 months ago | 5 days ago | |
TypeScript | Python | |
MIT License | GNU General Public License v3.0 only |
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.
waggle-dance
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Show HN: Demystifying Advanced Rag Pipelines
This seems very similar to LangSmith’s trace monitoring, which I have been leaning on heavily for observability. You also mention LlamaIndex— how do you see your project fitting into the ecosystem?
This is a great README, but I don’t think I would able to use this because it is serial.
In my experimental agent system, waggledance.ai, I have been working on a pre-agent step of [picking and synthesizing the right context and tools](https://github.com/agi-merge/waggle-dance/blob/main/packages...) for a given subtask of a larger goal, and it seems to be boosting results. It looks like now I have to try sub-question answering in the mix as well.
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Autotab – Boring AI Agents for real world tasks
This is amazing. I will try to have it automate my system of agents web app (turtles all the way down) (shameless plug: https://github.com/agi-merge/waggle-dance)
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Ask HN: Show me your half baked project
- source code: https://github.com/agi-merge/waggle-dance
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Language Agent Tree Search Unifies Reasoning Acting and Planning in LMs
Any advice for trying to implement this in my project over at https://github.com/agi-merge/waggle-dance
Currently I am creating different agent types for planned subtasks using langchain, so perhaps implementing a custom AgentExecutor? Or would I need to lift it up higher in the logic stack? I am not sure that I understand how the graph search and thought-action-reflection selection process is deciding when and how to reflect if a branch fails, and how it backpropogates the failure to other nodes?
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Why AutoGPT engineers ditched vector databases
I have been working on a system of agents over at https://github.com/agi-merge/waggle-dance - I already split problems up into subtasks for agents to work on independently. I give agents access to vector databases, using a simple global key for now, but soon a context/parent/child key. Access to the vector DBs is proxied via tools (agents have to “call” saveMemory or retrieveMemory). I also check for looping/repetition FREQUENTLY using in-memory vector databases of the langchain agent callback events.
My opinion on this: eh, who cares? AutoGPT and similar are non-standard use cases for Vector DBs right now, and Vector DBs are useful for RAG.
paperless-ngx
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Ask HN: I have many PDFs – what is the best local way to leverage AI for search?
Paperless supports OCR + full text indexing: https://docs.paperless-ngx.com/
As far as AI goes, not sure.
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I accidentally built a meme search engine
I steered a friend towards Paperless (and away from an LLM solution) as a way of searching/accessing GBs of architectural PDFs recently - so far, it’s apparently working well for them.
https://github.com/paperless-ngx/paperless-ngx
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🔍Underrated Open Source Projects You Should Know About 🧠
Paperless-ngx is a document management system that transforms your physical documents into a searchable online archive so you can find your physical documents easier. With features such as tags, full text search, multi-user permissions system, this is a dream for those who like to keep an organized folder of files and documents.
- Paperless-Ngx
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Home Lab Guide
Since last year I’ve been configuring and maintaining my homelab setup and it is just amazing.
I’ve learned so much about containers, virtual machines and networking. Some of the self hosted applications like paperless-ngx [1] and immich [2] are much superior in terms of features than the proprietary cloud solutions.
With the addition of VPN services like tailscale [3] now I can access my homelab from anywhere in the world.
The only thing missing is to setup a low powered machine like NUC or any mini PC so I can offload the services I need 24/7 and save electricity costs.
If you can maintain it and have enough energy on weekends to perform routine maintenance and upgrades. I would 100% recommend setting up your own homelab.
[1] https://docs.paperless-ngx.com/
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Ask HN: What Underrated Open Source Project Deserves More Recognition?
This has been posted a few times already, but I cannot tell you how life changing Paperless NGX is for organizing PDFs. As someone who wrangles all of the insurance and bills for my house, this open source software is so damn good.
https://docs.paperless-ngx.com/
I maintain Bash script to quickly set it up locally on Linux with Podman. Give it a spin if you want to kick the tires.
https://github.com/jdoss/ppngx
- Daily Price Tracking for Trader Joes
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Taking (Back?) My Internet Privacy and Presence
Personally, I use https://github.com/joeyates/imap-backup to archive all my emails and then only keep them on the remote server for as long as I need to (basically until I read them and respond or download an attachment into https://docs.paperless-ngx.com )
- Paperless-NGX: transform your physical documents into a searchable archive