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.
Our Series
Natural Language Processing for Semantic Search
Learn how to build semantic search systems. From machine translation to question-answering.
Faiss: The Missing Manual
Learn the essentials of vector search and how to apply them in Faiss.
Vector Search in the Wild
Take a look at the hidden world of vector search and its incredible potential.
Embedding Methods for Image Search
Learn about the past, present, and future of image search, text-to-image, and more.
LangChain AI Handbook
The handbook to the LangChain library for building applications around generative AI and large language models (LLMs).
Algorithms & Libraries
An Introduction to Autoencoders
Batch and Layer Normalization
BERTopic: The Future of Topic Modeling
Cross-Entropy Loss: Everything You Need to Know
Filtering: The Missing WHERE Clause in Vector Search
How to Explain ConvNet Predictions Using Class Activation Maps
Introduction to Transfer Learning
Regularization in Neural Networks
Semantic Search: Measuring Meaning From Jaccard to Bert
Softmax Activation Function: Everything You Need to Know
Transformers Are All You Need
Ludicrous BERT Search Speeds
Introduction to K-Means Clustering
K-Nearest Neighbor (KNN) Explained
Evaluation Measures in Information Retrieval
Testing p2 Pods, Vertical Scaling, and Collections
Straightforward Guide to Dimensionality Reduction
Weight Initialization Techniques in Neural Networks
SPLADE for Sparse Vector Search Explained
Getting Started with Hybrid Search
Hybrid Search and Learning-to-Rank with Metarank
Applications of Vector Search
Optimize Classifier Training with Vector Search
Embeddings to Identify Fake News
Time Series Analysis Through Vectorization
Language Embedding Models in Financial Services
Plagiarism Detection Using Transformers
How Machine Learning is Accelerating Life Sciences
Making Stable Diffusion Faster with Intelligent Caching
Projects
Making YouTube Search Better with NLP
Using Semantic Search to Find GIFs
OpenAI Whisper: Introduction and Example Project
Building a Multi-User Chatbot with Langchain and Pinecone in Next.JS
Building an Image Recognition App in Javascript using Pinecone, Hugging Face, and Vercel
Text-to-Image and Image-to-Image Search Using CLIP
Question Answering
Roughly Explained
What is a Sparse Vector?
What is an Inner Product?
What is Cosine Similarity?
What is Inductive Learning?
What is Maximum a Posteriori Estimation?
What is the Distance Between Two Vectors?
What is the Euclidean Distance?
What is the Jaccard Similarity?
What is the Tanimoto Similarity?
See all: Roughly Explained
Vector Search 101
What is Similarity Search?
What are Vector Embeddings?
What is a Vector Database?
Vector Embeddings for Developers: The Basics
Vector Search for Developers: A Gentle Introduction
Vector Similarity Explained
Vector Search Ops
What will you build?
Upgrade your search or recommendation systems with just a few lines of code, or contact us for help.