Semantic search over Hacker News, built on pgvector

Show HN: Semantic search over Hacker News, built on pgvector

Semantic search over Hacker News, built on pgvector operates in show hn launch.

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I built https://ask.rivestack.io — a semantic search engine over Hacker News posts. Instead of keyword matching, it finds results by meaning, so you can search things like "best way to handle authentication in microservices" and get relevant threads even if they don't contain those exact words. How it works:Indexed HN posts and comments into PostgreSQL with pgvector (HNSW index) Embeddings generated with OpenAI's embedding model Queries run as nearest-neighbor vector searches — typical response under 50ms The whole thing runs on a single Postgres instance, no separate vector DBI built this partly because I wanted a better way to search HN, and partly to dogfood my own project — Rivestack (ht

As a business in show hn launch, Semantic search over Hacker News, built on pgvector is listed here with the public details available about it.

Its current recorded stage is Show HN launch.

Website: ask.rivestack.io