Pinecone

• Stores, indexes, and queries high-dimensional vector embeddings for AI workloads • Enables fast similarity search across large datasets for semantic understanding • Provides managed infrastructure with automatic scaling and performance optimization • Supports integrated embedding and retrieval workflows for AI applications • Designed for use with machine learning models and large language models • Allows metadata filtering and hybrid search combining semantic and keyword methods