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etiennedi

HN member
Joined
Tue, Apr 03, 2018, 8:54 PM UTC
HN karma
20
Public activity
18 items

About etiennedi

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Recent public activity

  1. comment
    Comment #37402956

    We (at Weaviate) support separate BM25, vector, and combined hybrid search, so I can talk about the performance aspect of all of these a lot. The tl;dr is: It's complicated. What y…

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    Comment #36779845

    Thanks, appreciate your perspective. This is much more insightful than just "affiliated==botnet". I agree that this can be a huge positive and - at least for me - that was the moti…

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    Comment #36775736

    Fair point, edited my post. The fact that I love the visual design is my personal opinion though :-D

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    Comment #36775067

    Not sure if that alone is what made Go successful. But yes, having great networking tools in the stdlib is very refreshing! One of the things Go got right.

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    Comment #36774965

    Love the visual design, too. The generative/RAG/semantic search is the interesting part, but it's also just very pleasant to look at. Which can go a long way. EDIT: Disclaimer, I a…

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  9. comment
    Comment #32482436

    Hi, the author and long-time Go user here. Let me know if you have any questions. For me the introduction of GOMEMLIMIT finally makes Go a viable choice for high-heap applications.…

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    Comment #29568005

    I agree, but at the same time now is the easiest it's ever been to create great vectors. Sentence-Bert [1] by Nils Reimers is a collection of pre-trained models specficially traine…

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    Comment #29567536

    The models that create the vector embeddings are trained on either general or domain specific knowledge. So, to oversimplify it a bit: The model has learned - based on the training…

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    Comment #29558768

    Spot on! Both of those were motivating factors when building Weaviate (Open Source Vector Search Engine). We really wanted it to feel like a full database or search engine. You sho…

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    Comment #29557586

    Checkout the open source vector search engine Weaviate: https://github.com/semi-technologies/weaviate It’s not a relational db, but it supports Graph-like connections between objec…

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    Comment #26769029

    Exactly. See my reply on this comment thread comment thread to see how Weaviate solves the filter-issue by using an inverted index to produce a whitelist of IDs which is then passe…

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    Comment #26769020

    Main author and architect of Weaviate ( https://github.com/semi-technologies/weaviate ) here. This real-time requirement was one of the major design principles from the get-go in W…

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    Comment #26768991

    You might be interested in checking out Weaviate ( https://github.com/semi-technologies/weaviate ) which supports combining vector search with boolean filters. In Weaviate, the vec…

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