Aquant achieves 98% retrieval accuracy, 49% reduction in average time-to-resolution with Pinecone - Read the new case study
LEARNING CENTER

Core Components

What you need to know about vector search and vector databases.

Learning Center

Pinecone Picks

What is a Vector Database & How Does it Work? Use Cases + Examples

Core ComponentsPopular

28 min read

LLMs Are Not All You Need

Core Components

14 min read

Retrieval-Augmented Generation (RAG)

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13 min read

Chunking Strategies for LLM Applications

Core Components

14 min read

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Mar 5, 2025
Don’t be dense: Launching sparse indexes in Pinecone
Jack Pertschuk
Jack Pertschuk
May 15, 2024
A Developer’s Guide to Approximate Nearest Neighbor (ANN) Algorithms
Brian Hentschel
Xian Huang
Brian, Xian
Feb 1, 2024
Manage Serverless Costs with Read Units
Audrey Sage
Audrey Sage
Jan 25, 2024
OpenAI's Text Embeddings v3
James Briggs
James Briggs
Nov 27, 2023
Exploring the Pinecone AWS Reference Architecture
Zachary Proser
Zachary Proser
Sep 13, 2023
An (Opinionated) Checklist to Choose a Vector Database
Xian Huang
Xian Huang
Jun 30, 2023
What are Vector Embeddings
Rajat Tripathi
Rajat Tripathi
Jun 30, 2023
Vector Embeddings for Developers: The Basics
Roie Schwaber-Cohen
Roie Schwaber-Cohen
Jun 30, 2023
What is Similarity Search?
Rajat Tripathi
Rajat Tripathi
Jun 30, 2023
Vector Similarity Explained
Roie Schwaber-Cohen
Roie Schwaber-Cohen
Jun 30, 2023
Testing p2 Pods, Vertical Scaling, and Collections
James Briggs
James Briggs
Jun 22, 2023
What is Vector Search? 2024 Guide for Developers
Greg Kogan
Greg Kogan