Introduction to semantic vector retrieval

This article recommends a free foreign tutorial on semantic vector retrieval technology , There are not only clear theoretical explanations , And there are supporting code practices .

Course link ：

https://www.pinecone.io/learn/

Syllabus （ The actual content is much more than this ）：

• Part 1: Introduction

• Semantic Search: Measuring Meaning From Jaccard to Bert
• Getting Started with Faiss
• Nearest Neighbor Indexes for Similarity Search

• Part 2: Algorithm Deep Dives

• Traditional Locality Sensitive Hashing (LSH)
• Random Projection for LSH
• Compression with Product Quantization
• Hierarchical Navigable Small Worlds (HNSW) Graphs

• Part 3: More Advanced Index Concepts

• Filtering: The Missing WHERE Clause in Vector Search
• Composite Indexes: Facebook AI and the Index Factory