FAISS - Introduction to Similarity Search

This course on FAISS - Introduction to Similarity Search aims to teach learners about the popular implementation of efficient similarity search, Facebook AI Similarity Search (FAISS). By the end of the course, students will understand the special features of FAISS, how to utilize the tool effectively, and how FAISS can enhance semantic search speed. The course covers topics such as Index Flat L2, Index Training, Adding Vectors, Query Time, Voronoi Cells, Index IVF, Product Quantization Index, and Implementing Product Quantization Index. The teaching method involves practical coding examples and demonstrations. This course is intended for individuals interested in enhancing their knowledge of similarity search and those looking to improve semantic search capabilities using FAISS.