Annoy for fast indexing Python Library
What do you like best?
It is an open-source python library. It cost us nothing to import and can be integrated for multiple environments and use cases. Builiding with the library data sets is a trivial job but can be implemented with some tweaks
What do you dislike?
Typical code implementations and tweaks to the library setups and tree management errors
What problems are you solving with the product? What benefits have you realized?
Annoy is implemented as a predictive model in image libraries and word selction libraries to spot some changes. we are exploring further to enhance the library use case and will update. google universal sentence encoding for implementation of GPT3 based query systems is another possible use case we are experimenting