Learn to Love Working with Vector Embeddings
Unlock the power of machine learning. Our guides will help you conquer vector embeddings and build better applications.
Algorithms & Libraries
Facebook AI Similarity Search (Faiss): The Missing Manual
Filtering: The Missing WHERE Clause in Vector Search
Hierarchical Navigable Small Worlds (HNSW)
Introduction to Transfer Learning
Locality Sensitive Hashing (LSH): The Illustrated Guide
Nearest Neighbor Indexes for Similarity Search
Product Quantization
Random Projection for Locality Sensitive Hashing
Semantic Search: Measuring Meaning From Jaccard to Bert
Composite Indexes and the Faiss Index Factory
Transformers Are All You Need
Ludicrous BERT Search Speeds
Applications of Vector Search
Embeddings to Identify Fake News
Time Series Analysis Through Vectorization
Language Embedding Models in Financial Services
NLP for Semantic Search
Dense Vectors
Sentence Transformers and Embeddings
Training Sentence Transformers with Softmax Loss
Training Sentence Transformers with MNR Loss
Multilingual Sentence Transformers
Question Answering
Retrievers for Question-Answering
Readers for Question-Answering
Unsupervised Training for Sentence Transformers
Data Augmentation with BERT
Domain Transfer with BERT
Vector Search 101
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