Public Datasets for Typesense Testing

Alexander posed several database and search-related questions. Mac suggested considering GraphQL, considering performance and high availability needs, and leveraging Cloudflare workers. Kishore Nallan provided insights on the capabilities of Typesense and discussed the idea of search personalization using machine learning.

Robert reported an issue about query time delay when adding a `filter_by` constraint in a large Typesense database. Kishore Nallan explained that this happens due to the order of operation and also promised to look into this issue further. Robert withdrew his interest in sponsoring the improvement due to moving from the project.

Arumugam experienced slow search results and data import time with json and PHP library. Kishore Nallan advised trying import and provided guidance on integrating the function into a PHP application. The issue was resolved as the search results are now displayed faster.

Thomas asks about the speed of indexing and associated factors. The conversation reveals that larger batch sizes and NVMe disk usage can improve speed, but the index size is limited by RAM. Jason shares plans on supporting nested fields, and they explore a solution for products in multiple categories and catalogs.

Martin discussed his blogging platform's search functionality and its use of Typesense for full text search. Jason provided feedback and suggested a hybrid solution for the search bar. Improvements will be made based on further user feedback.