Pinecone | The vector database to build knowledgeable AI
Pinecone
Introduction
Pinecone is a fully managed vector database that makes it easy to build high-performance vector search applications. It’s designed for real-time, scalable similarity search, enabling developers to quickly find the most relevant items based on vector embeddings.
Use Cases
Semantic Search
Powering search engines that understand the meaning behind queries, not just keywords.
Recommendation Systems
Building personalized recommendation engines that suggest relevant products, content, or users based on similarity.
Fraud Detection
Identifying fraudulent transactions by comparing vector embeddings of transaction data.
Chatbots and Conversational AI
Enhancing chatbot accuracy by retrieving the most relevant information from a knowledge base using vector search.
Image and Video Retrieval
Enabling image and video search based on visual similarity.
Features & Benefits
Real-time Indexing
Quickly index and search vectors with low latency.
Scalability
Scale vector storage and query throughput as your data grows.
Fully Managed
Eliminate operational overhead with a fully managed service.
Hybrid Indexing
Combine vector similarity with metadata filtering.
Multiple Distance Metrics
Support for cosine, euclidean, and dot product distance metrics.
