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How we built a SOTA search engine using PostgreSQL, pgvector, and Qwen3 embeddings [P]

This story is from 2026-08-25. It is preserved in the archive; the latest stories are on the live feed.

I wrote a technical breakdown of how search works on Papers with Code. The system combines keyword and semantic search, which produced better results than either approach alone. The stack includes: PostgreSQL with pgvector Qwen3-Embedding-0.6B for text embeddings Hugging Face Jobs with an NVIDIA L4…

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  1. 2026-08-25 12:42 · r/MachineLearning
    How we built a SOTA search engine using PostgreSQL, pgvector, and Qwen3 embeddings [P]

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