EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·Aug 13·5 min read
I Built a 500k-Domain Search Engine for Makers in a Weekend for $10
TL;DR
A developer created a personal search engine indexing over 560,000 domains in a weekend for just $10, focusing on niche content like art and software. This project highlights the feasibility of building specialized search tools with minimal resources.
✦ Why It Matters
Consider building a personal search engine to filter out irrelevant content in your field of interest.
Key Takeaways
- Use a simple crawler to focus on specific content types.
- Rent a GPU for efficient processing of large datasets.
- Prioritize content categories to improve search relevance.
- Implement automated checks to maintain index quality.
How It Works
The search engine uses a crawler to fetch homepages and a local language model to summarize them into metadata. This metadata includes a name, brief description, category, and tags, allowing for effective searching.
The developer adjusted the crawler's priorities based on the types of sites being indexed, ensuring a focus on creative content rather than corporate documentation.