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

Filtering: The Missing WHERE Clause in Vector Search

Getting Started With Faiss

Locality Sensitive Hashing (LSH): The Practical and Illustrated Guide

Nearest Neighbor Indexes for Similarity Search

Product Quantization

Random Projection for Locality Sensitive Hashing

Semantic Search: Measuring Meaning From Jaccard to Bert

Ludicrous BERT Search Speeds

Examples

Question Answering

Semantic Textual Search

Time Series Similarity Search

Video Recommendation

Audio Similarity Search

Benchmarking Vector Similarity Search

Document Deduplication

Extreme Classification

Image Similarity Search

IT Threat Detection

Personalized Article Recommender

Product Recommendation Engine

Pinecone and Feast Feature Store

Vector Search 101

What is Vector Similarity Search?

What are Vector Embeddings?

What is a Vector Database?

Vector Search for Developers: A Gentle Introduction

Vector Search News

Pinecone 2.0: Take Vector Search from the Lab to Production

The Rise of Vector Data

Announcing the Pinecone Vector Database and $10M in Seed Funding

What will you build?

Upgrade your search or recommendation systems with just a few lines of code, or contact us for help.

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