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 new Claude analysis JavaScript code execution tool - 24th October 2024
- Initial explorations of Anthropic's new Computer Use capability - 22nd October 2024
- Everything I built with Claude Artifacts this week - 21st October 2024