EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·Jul 22·5 min read
Back to Kagi
TL;DR
After experimenting with various search engines, the author returned to Kagi, appreciating its privacy focus and superior search results. Kagi's unique features, like summarization and customization, were missed during the trial period.
✦ Why It Matters
Consider prioritizing privacy-focused search engines like Kagi for better quality results tailored to your needs.
Key Takeaways
- Evaluate search engines based on privacy and result quality.
- Explore Kagi's unique features like summarization and translation.
- Customize your search experience with CSS options in Kagi.
- Avoid search engines that prioritize multimedia over text results.
Full Summary
The author re-subscribed to Kagi after trying alternatives like Google, DuckDuckGo, and SearxNG, which failed to meet their needs for quality text-based search results. Kagi, known for its privacy-centric approach, consistently provided better results compared to competitors, which often prioritized multimedia content over text.
The author found the experience of using other search engines frustrating due to poor result quality and rate-limiting issues. Kagi's features, such as summarization and translation, along with customizable CSS options, were particularly valued.
The return to Kagi reinforced the author's belief in its unique offerings and commitment to user privacy, making it the preferred choice for effective searching.