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jonathan-adly
searching Neon…
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jonathan-adly
1mo ago
Do you know what NPS is? That's how the comment started. Patients like it. Because the alternative is to stay on hold for 20+ minutes, and then get it wrong. (Or have no pharmacies except Optum's and Express Scripts). Good for you
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jonathan-adly
1mo ago
https://www.healthaffairs.org/doi/abs/10.1377/hlthaff.2024.0... Of the 88,930 retail pharmacies operating during 2010–20, 29.4 percent had closed by 2021.
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jonathan-adly
1mo ago
NPS typically improves because no one stays on hold for 20+ mins anymore. People have no ideas have pharmacies work. Pharmacies don't control how much they pay for drug, or how much they get paid. The margins are terrible and you can&#
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jonathan-adly
1mo ago
So - I run a company that does AI agents for pharmacy. We are at Series B now and growing well - series C in 9-12 months given growth. We just acquired a competitor of that vendor so very much an insider. First, The technology works, and it
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jonathan-adly
6mo ago
I can’t believe this has 1 point, and buried. This is great find, very juicy, and would kill a few hot startups.
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jonathan-adly
1y ago
Basically- the same math as modern automated manufacturing. Super expensive and complex build-out - then a money printer once running and optimized. I know there is lots of bearish sentiments here. Lots of people correctly point out that th
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jonathan-adly
1y ago
We have been running this playbook for the last 2 years in healthcare, and we have been super successful. Doubling every quarter over the last year. 70%+ profitability, almost 7 figures of revenue. 100% bootstrapped. People are still mental
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jonathan-adly
1y ago
One of the most pleasant experiences I had writing code, is early AI days when we did hyperscript SSE. Super locality of behavior, super interesting way of writing Server Sent Events code. eventsource demo from http://server/
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jonathan-adly
1y ago
Lots of YC companies copy each other process and selection criteria. Basically- they all have the same blind spots and look for the same type of engineer. So, super easy to scam all of them with the same skillset and mannerism.
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jonathan-adly
1y ago
I send this article as part of onboarding for all new devs we hire. It is super great to keep a fast growing team from falling into the typical cycle of more people, more complexity.
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jonathan-adly
2y ago
The “equivalent” here would be Jina-Clip (architecture-wise), not necessarily performance. The ColPali paper(1) does a good job explaining why you don’t really want to directly use vision embeddings; and how you are much better off optimizi
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jonathan-adly
2y ago
So, there is a whole world with vision based RAG/search. We have a good open-source repo here with a ColPali implementation: https://github.com/tjmlabs/ColiVara
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jonathan-adly
2y ago
Great work! Honestly it helps so much just explaining these metrics for folks. Early on RAG was an art, now when things are stabilized a bit, it’s more of a science - and vendors should at a minimum have some benchmarks.
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jonathan-adly
2y ago
I would like to through our project in the ring. We use ColQwen2 over a ColPali implementation. Basically, search & extract pipeline: https://docs.colivara.com/guide/markdown
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Show HN: ColPali as an API
(github.com)
2 points
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jonathan-adly
2y ago
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0 comments
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jonathan-adly
2y ago
Here is a nice use-case. Put this in a pharmacy - have people hit a button, and ask questions about over-the-counter medications. Really - any physical place where people are easily overwhelmed, have something like that would be really nice
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Show HN: A state of the art retrieval API on both text and visual documents
(colivara.com)
1 points
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jonathan-adly
2y ago
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0 comments
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Hybrid search vs. Token pooling benchmarking
(blog.colivara.com)
3 points
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jonathan-adly
2y ago
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1 comments
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jonathan-adly
2y ago
Hi HN! We benchmarked two ways to improve the latency in RAG workflows with a multi-vector setup. Hybrid search using Postgres native capabilities and a relatively new method of token pooling. Token pooling unlocked up to 70% faster latency
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jonathan-adly
2y ago
So - the synthetic QAs datasets in the Vidore datasets are exactly like that 90% text, 10% charts/tables. OCR + BM25 is at ~90% NCDG@5 which is pretty decent. ColPali/Ours is at ~98%. It is a small upgrade, but one nonetheless. Th
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jonathan-adly
2y ago
I would like to throw our project in the ring that solves this problem: https://github.com/tjmlabs/ColiVara 1. Uses half-vecs, so you cut down everything by half with no recall loss 2. Uses token pooling with hierarch
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jonathan-adly
2y ago
I will do it - you are right. Lots of materials in the space is basically people selling their complex tools w/ learning as a lower priority
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jonathan-adly
2y ago
I would strongly advise against people learning based on LangChain. It is abstraction hell, and will set you back thousands of engineers hours the moment you want to do something differently. RAG is actually very simple thing to do; just to
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jonathan-adly
2y ago
I would check out vision models as a technique to go around OCR errors. ColPali is the standard implementation & SOTA. Much better than OCR. We maintain a ready to go retrieval API that implements this: https://github.com
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Show HN: Using VLLMs for RAG – skip the fragile OCR
(github.com)
2 points
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jonathan-adly
2y ago
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0 comments
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jonathan-adly
2y ago
We have traditionally used Django in all our projects. We believe it is one of the most underrated, beautifully designed, rock solid framework out there. However, if we are to be honest, the history of async usage in Django wasn't very
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Async Django in Production
(jonathanadly.com)
50 points
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jonathan-adly
2y ago
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45 comments
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From Cosine to Dot: Benchmarking Similarity Metrics
(blog.colivara.com)
2 points
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jonathan-adly
2y ago
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0 comments
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jonathan-adly
2y ago
If you are interested in that space, would throw our project in the mix which uses ColPali under the hood transparently. https://github.com/tjmlabs/ColiVara The main benchmark for this is the Vidore leaderboard. Where
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Show HN: ColiVara – State of the Art RAG API with Vision Models
(github.com)
10 points
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jonathan-adly
2y ago
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0 comments
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