pinecone-io / pinecone-ts-client

What it does

• Document & Full-Text Search. Store documents, search text across multiple fields, and use query-string scoring with filtering and field selection
• Document Operations. Upsert, fetch, update, and delete documents within namespaces
• Vector Operations. Store, query, and manage high-dimensional vectors with metadata filtering
• Index Management. Create serverless indexes and manage existing pod-based indexes
• Integrated Embedding. Have Pinecone embed document text with hosted models, so you can search by meaning without managing vectors