centamiv

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by centamiv 4mo ago
This article explores the conceptual and technical bridge between PHP's dynamic memory and C's static types via FFI. Features a practical implementation of the Sieve algorithm with a detailed look at the System V AMD64 ABI contrac
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SMTP: We've been sending digital letters since 1982(centamori.com)
1 points by centamiv 9mo ago|0 comments
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by centamiv 9mo ago
You are absolutely right. I will update the README with some examples, thanks for the feedback!
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by centamiv 9mo ago
I'm really glad you liked the article! Thanks so much for reading the previous one too, I really appreciate it.
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by centamiv 9mo ago
Thanks for checking out the other posts too! I wasn't familiar with the term 'Locality of Behavior' until recently, but it perfectly captures what I strive for: readability and simplicity.
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by centamiv 9mo ago
Thank you, really appreciate that
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by centamiv 9mo ago
Apologies if it felt that way! I used OpenAI in the examples just because it's the quickest 'Hello World' for embeddings right now, but the library itself is completely agnostic. HNSW is just the indexing algorithm. It doesn&
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by centamiv 9mo ago
I tested it myself with 1k documents (about 1.5M vectors) and performance is solid (a few milliseconds per search). I haven't run more aggressive benchmarks yet. Since it only stores the vectors, the actual size of the Markdown documen
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by centamiv 9mo ago
Thank you! That was exactly the goal. Modern PHP turned out to be surprisingly expressive for this kind of 'executable pseudocode'. Glad you appreciated it!
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Hierarchical Navigable Small World (HNSW) in PHP(centamori.com)
95 points by centamiv 9mo ago|15 comments
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by centamiv 9mo ago
OP here. I wrote this implementation to deeply understand the mechanics behind HNSW (layers, entry points, neighbor selection) without relying on external libraries. While PHP isn't the typical choice for vector search engines, I fou
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"Fireball" vs. "Make it go boom": Building a Semantic Search for D&D(centamori.com)
3 points by centamiv 9mo ago|1 comments
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by centamiv 9mo ago
Hi HN, I wrote a short post demonstrating how vector search works by building a D&D spell finder. Instead of using a vector DB immediately, I implemented the cosine similarity math manually in PHP to demystify how embeddings actually wo
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Show HN: Vektor – A native PHP vector database using HNSW(github.com)
2 points by centamiv 9mo ago|0 comments