Viewing profile — ngalstyan4
ngalstyan4
HN member- Joined
- Sun, Aug 05, 2018, 6:23 PM UTC
- HN karma
- 325
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- 38 items
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About ngalstyan4
Find me at narekg at berkeley dot edu
Email here for priority response:
WITH hash AS ( SELECT string_to_array(md5('4'), NULL) as h ) SELECT 'narekg+' || h[15] || h[16] || h[13] || h[1] || '@berkeley.edu' AS priority_email FROM hash;
Recent public activity
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Comment #46276479
Sounds cool! Would be curious to know what the underlying aws ec2 instance is. Is each DB on a dedicated instance? If not, are there per-customer iops bounds?
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Comment #45890015
They would need to handle all the translation changes as well, no? https://github.com/search?q=repo%3Apostgres%2Fpostgres+%22ma... > I agree code change is simple, but I guess the …
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Comment #45605118
Surprised to not see Ubicloud in there, which provides cloud services on top of various (including European) infra providers. https://www.ubicloud.com/
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Comment #43094126
This is really cool, congrats on launch! I am curious how you prevent private data from getting leaked to the auto-generated public docs. I imagine this problem does not exist in o…
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Comment #41014729
Author here. > I don’t think “get moar ram” is a good response to that particular critique. I do not think the blog post suggested "get more ram" as a response, but happy to clarif…
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Comment #41014685
Author here. We will benchmark this thoroughly in the future for our vector indexes. But at least anecdotally, it made a ton of difference. We met <200ms latency budget with Ubiclo…
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Comment #40069731
I have tried CLIP on my personal photo album collection and it worked really well there - I could write detailed scene descriptions of past road trips, and the photos I had in mind…
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Comment #40068218
We provide this functionality in Lantern cloud via our Lantern Extras extension: https://github.com/lanterndata/lantern_extras > You can generate CLIP embeddings locally on the DB …
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Comment #39949585
For similar isolation level anomalies in real world applications check out this SIGMOD '17 paper: ACIDRain: Concurrency-Related Attacks on Database-Backed Web Applications: http://…
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Comment #39413365
Not sure what the approach of this library is, but can't you generate a nonce from a larger alphabet, hash the column values with the nonce `hash(nonce || column)`, and crypto-shre…
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Comment #39235329
this is cool! Does this only collect logs from frontend? Or it can also collect the backend and DB latency data related to a frontend interaction?
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Comment #38849167
My understanding is Trusted Language Extensions refer to extensions written in PL/Rust - a Postgres extension mechanism to write user defined functions and use them in SQL queries.…
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Comment #38848978
cofounder here. You are right that there are many trade-offs between HNSW and IVFFLAT. E.g. IVFFLAT requires there be significant amount of data in the table, before the index is c…
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Comment #38252645
It is strange that there is no mention of Ruben Vardanyan, even when FAST foundation is mentioned. But still cool to read about Armenia's tech sector here.
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Comment #37504627
We have not run microbenchmarks to see what dimension ranges perform best but those are coming soon! Below is an anecdotal answer: We run our ci/cd benchmarks on 128dim sift vector…
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Comment #37501677
This sounds like a very useful feature, and we will prioritize this. You’re correct that IVFFLAT would be faster for your use case. However, IVFFLAT’s shortcoming is bad recall, wh…
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Comment #37501419
>When you say "produced locally", do you mean on the client? Sorry for the confusion. By “produced locally” I meant “produced on your DB server” as opposed to being an API call to …
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Comment #37500863
Our index access method will be called lantern_hnsw if pgvector or any other provider has already taken the hnsw access method name. btw, we did not create our own vector type and …
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Comment #37500671
Pgvector builds a vector index. Our extension, similarly, builds an index but also extends SQL in more ways. For example, - Generating embeddings to augment plain relational data -…
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Show HN: Lantern – a PostgreSQL vector database for building AI applications
We are excited to share Lantern! Lantern is a PostgreSQL vector database extension for building AI applications. Install and use our extension here: https://github.com/lanterndata/…
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Comment #32323788
Is this documented anywhere? Ran docker and one of my endpoints inserts rows to a google sheets via its API...
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Comment #32323763
Also, the main reason I did not initially add a lot of info to the story is I do not know what is relevant and what is not because the email I received from them contains even less…