Pinecone TypeScript SDK Documentation

Detailed guides for using the Pinecone TypeScript SDK.

Index Management

• Serverless Indexes - Create serverless indexes for document, full-text, and vector search
• Pod Indexes - Manage existing pod-based indexes
• Collections - Static copies of pod-based indexes
• Backups - Create and restore from serverless index backups
• Backup Schedules - Create and manage recurring index backups
• Common Operations - List, describe, delete, and configure indexes

Data Operations

• Working with Documents - Store, search, fetch, update, and delete documents
• Working with Vectors - Upsert, query, fetch, update, and delete vectors
• Namespaces - Organize documents and vectors within an index
• Metadata Filtering - Advanced filtering with operators
• Bulk Import - Import large datasets from object storage

Inference

• Inference API - Use standalone embedding and reranking models
• Integrated Inference - Index-integrated embedding and reranking

Assistant

• Getting Started - Quick start guide for Pinecone Assistant
• Chat Operations - Chat, streaming, and context retrieval
• File Management - Upload, list, and manage files

TypeScript Features

• Type Safety - Generic metadata types and type-safe operations
• Async Patterns - Best practices for async/await
• Error Handling - Error types and recovery strategies

Upgrading

• v9 Migration Guide - Upgrading from v8.x to v9.x
• v8 Migration Guide - Upgrading from v7.x to v8.x
• v2 Migration Guide - Upgrading from v1.x to v2.x
• v1 Migration Guide - Upgrading from v0.x to v1.x

Additional Resources

• FAQ - Frequently asked questions and troubleshooting
• API Reference - Complete TypeDoc API documentation
• Official Docs - Conceptual guides and tutorials