Lobsters
txtai
Our great sponsors
Lobsters | txtai | |
---|---|---|
264 | 354 | |
3,932 | 6,910 | |
1.0% | 5.7% | |
9.5 | 9.3 | |
2 days ago | 21 days ago | |
Ruby | Python | |
GNU General Public License v3.0 or later | 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.
Lobsters
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What makes concurrency so hard?
var req2 = http.GetStringAsync("https://lobste.rs");
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Y Combinator's Chief Startup Whisperer Is Demoting Himself
"I actually wish we had a hacker community like this without the business/startup side at all"
Sounds like you want https://lobste.rs
- Ask HN: Interest in novel programming language for resource-constrained MCUs?
- Banned for Self-Promo
- Remove average karma, unvalued and maybe counterproductive
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What Went Wrong at Techstars?
Well, there's https://lobste.rs/, or we could all go back to slashdot I guess
- DesignerNews Is Shutting Down
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Show HN: Mutable.ai β Turn your codebase into a Wiki
Requesting https://github.com/lobsters/lobsters as I'm going through that codebase and would be able to provide feedback. cheers
ps. just gonna second everyone else who's saying being able to edit out incorrect data is very important, otherwise people are gonna be weary of reading repos they aren't already familiar with.
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Happy New Year HN
> Hacker News, but also lobster.rs
First time I hear about it. I think you meant https://lobste.rs
- Missing A-Record for HTTPS://Lobste.rs
txtai
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Build knowledge graphs with LLM-driven entity extraction
txtai is an all-in-one embeddings database for semantic search, LLM orchestration and language model workflows.
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Bootstrap or VC?
Bootstrapping only works if you have the runway to do it and you don't feel the need to grow fast.
With NeuML (https://neuml.com), I've went the bootstrapping route. I've been able to build a fairly successful open source project (txtai 6K stars https://github.com/neuml/txtai) and a revenue positive company. It's a "live within your means" strategy.
VC funding can have a snowball effect where you need more and more. Then you're in the loop of needing funding rounds to survive. The hope is someday you're acquired or start turning a profit.
I would say both have their pros and cons. Not all ideas have the luxury of time.
- txtai: An embeddings database for semantic search, graph networks and RAG
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Ask HN: What happened to startups, why is everything so polished?
I agree that in many cases people are puffing their feathers to try to be something they're not (at least not yet). Some believe in the fake it until you make it mentality.
With NeuML (https://neuml.com), the website is a simple HTML page. On social media, I'm honest about what NeuML is, that I'm in my 40s with a family and not striving to be the next Steve Jobs. I've been able to build a fairly successful open source project (txtai 6K stars https://github.com/neuml/txtai) and a revenue positive company. For me, authenticity and being genuine is most important. I would say that being genuine has been way more of an asset than liability.
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Are we at peak vector database?
I'll add txtai (https://github.com/neuml/txtai) to the list.
There is still plenty of room for innovation in this space. Just need to focus on the right projects that are innovating and not the ones (re)working on problems solved in 2020/2021.
- Txtai: An all-in-one embeddings database for semantic search and LLM workflows
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Generate knowledge with Semantic Graphs and RAG
txtai is an all-in-one embeddings database for semantic search, LLM orchestration and language model workflows.
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Show HN: Open-source Rule-based PDF parser for RAG
Nice project! I've long used Tika for document parsing given it's maturity and wide number of formats supported. The XHTML output helps with chunking documents for RAG.
Here's a couple examples:
- https://neuml.hashnode.dev/build-rag-pipelines-with-txtai
- https://neuml.hashnode.dev/extract-text-from-documents
Disclaimer: I'm the primary author of txtai (https://github.com/neuml/txtai).
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RAG Using Unstructured Data and Role of Knowledge Graphs
If you're interested in graphs + RAG and want an alternate approach, txtai has a semantic graph component.
https://neuml.hashnode.dev/introducing-the-semantic-graph
https://github.com/neuml/txtai
Disclaimer: I'm the primary author of txtai
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Ten Noteworthy AI Research Papers of 2023
fwiw this link looks interesting, everyone
What are some alternatives?
Shaarli - The personal, minimalist, super-fast, database free, bookmarking service - community repo
sentence-transformers - Multilingual Sentence & Image Embeddings with BERT
xBrowserSync - xBrowserSync browser extensions / mobile app
tika-python - Tika-Python is a Python binding to the Apache Tikaβ’ REST services allowing Tika to be called natively in the Python community.
Firefox Sync Server - Run-Your-Own Firefox Sync Server
faiss - A library for efficient similarity search and clustering of dense vectors.
Pinry - Pinry, a tiling image board system for people who want to save, tag, and share images, videos and webpages in an easy to skim through format. It's open-source and self-hosted.
transformers - π€ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Bookie - Python based delicious.com replacement
CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
unmark - An open source to do app for bookmarks.
paperai - π π€ Semantic search and workflows for medical/scientific papers