All articles by Tamo
Meilisearch indexes embeddings 7x faster with binary quantization
By implementing binary quantization with the vector store Arroy, significant reductions in disk space usage and indexing time for large embeddings have been achieved while maintaining search relevance and efficiency.
Tamo10 Mar 2025
How Meilisearch updates a database with millions of vector embeddings in under a minute
How we implemented incremental indexing in our vector store.
Tamo04 Apr 2024