HNSW+PQ - Exploring ANN algorithms Part 2.1

1. 1Understand the basics of HNSW and Product Quantization (PQ) algorithms
2. 2Implement HNSW+PQ in Weaviate for vector compression
3. 3Evaluate the performance of HNSW+PQ against other ANN algorithms
4. 4Optimize the implementation for specific use cases and datasets

Machine learning engineers and data scientists on a team can benefit from this implementation to improve the efficiency of their ANN search algorithms, while software engineers can utilize this to optimize their vector database performance

💡 HNSW+PQ can significantly improve the efficiency of ANN search algorithms by reducing the dimensionality of vector data

🚀 Boost ANN search efficiency with HNSW+PQ in Weaviate!