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
- Can coding agents relicense open source through a “clean room” implementation of code? - 5th March 2026
- Something is afoot in the land of Qwen - 4th March 2026
- I vibe coded my dream macOS presentation app - 25th February 2026