13 August 2025
Topic: Vector
Show HN: Building a web search engine from scratch with 3B neural embeddings
Article URL: https://blog.wilsonl.in/search-engine/ Comments URL: https://news.ycombinator.com/item?id=44878151 Points: 99 # Comments: 21...
TL;DR
A developer built a web search engine from scratch in two months using 3 billion neural embeddings and achieved a high level of relevance and accuracy in search results.
Key Takeaways:
Key Takeaways:
- The search engine's ability to understand complex queries and natural language questions was significantly improved through the use of neural embeddings.
- The system was able to achieve high performance and scalability through the use of cloud infrastructure, sharding, and efficient data structures.
- The project demonstrated the potential for custom-built search engines to compete with commercial solutions and highlighted the importance of considering factors such as search quality and relevance in the design of such systems.
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