01/07/2024 to 02/07/2024 Few days recap
Code
Implemented semantic search using ollama with embedding model as nomic-embed-text for book highlights app. Storing the embeddings in chromaDB. So search now is keyword + semantic one. The results are also good.
Implemented some basic things on the local search engine app;
- Added UI part to show search results
- recursive directory iteration
The chromadb codebase is really accessible. Planning to work on some issues. Like this one
Watch
Started on this video of tsoding Speeding up Rust Code
Web browsing
Found this puzzle, Vertex Like sudoku can be done when bored :D
Things to try
Byredo Animalique Perfume might give it a try lets see.
Read
Found a good blog The Illistrated Word2vec on embeddings. Helps to get an intuition of how it works
Blog talking about why you should consider using sqlite for your apps. It covers many points and trade-off Consider SQLite