9th November 2022 - Link Blog
Semantic text search using embeddings. Example Python notebook from OpenAI demonstrating how to build a search engine using embeddings rather than straight up token matching. This is a fascinating way of implementing search, providing results that match the intent of the search (“delicious beans” for example) even if none of the keywords are actually present in the text.
Recent articles
- Notes on the xAI/Anthropic data center deal - 7th May 2026
- Live blog: Code w/ Claude 2026 - 6th May 2026
- Vibe coding and agentic engineering are getting closer than I'd like - 6th May 2026