Why DuckDuckGo is building its own web search index
a day ago
- #AI
- #web-crawling
- #search-engine
- DuckDuckGo's history with search indexing and crawling, starting with Gabriel Weinberg's early efforts.
- Transition from full web indexing to niche indexes (e.g., Wikipedia for knowledge graph, local businesses, lyrics).
- Current focus on building a full web index to support AI-driven products like Search Assist and Duck AI.
- Importance of grounding AI responses with web data for accuracy and trust.
- Advantages of DuckDuckGo's position: live feedback from millions of users, tight internal feedback loops, and rapid iteration.
- Overview of the tech pipeline: frontier selection, polite crawling, rendering, content extraction, semantic search (embeddings), and Vespa database integration.
- Unique challenges and opportunities with AI agents as search customers, including well-formulated queries and high information consumption.