How to Use Get Load State API for Vector Databases

Use the Get Load State API to check whether v2 vector collections are currently loaded in memory with RESTful JSON requests, batch-friendly checks, and solid error handling.

How to Use Refresh Load API for Vector Databases

Use the Refresh Load API to reload v2 vector collections into memory with RESTful JSON requests, batch-aware operations, and solid error handling so your AI apps keep hot indexes fresh, avoid stale embeddings, and maintain high query performance in production.

How to Use Get Stats API for Vector Databases

Use the Get Stats API to monitor v2 vector collections with RESTful JSON requests so your AI apps can track index size, performance, and capacity in real time, quickly spot bottlenecks, and tune large-scale embedding workloads for production reliability.

How to Use Compact API for Vector Databases

Use the Compact API to reorganize and defragment v2 vector collections with RESTful JSON requests, batch-safe operations, and robust error handling so your AI apps can reclaim storage, speed up queries, and keep large embedding indexes performing smoothly in production.

How to Use Load API for Vector Databases

Use the Load API to bring v2 vector collections into memory with RESTful JSON requests, batch-aware operations, and robust error handling so your AI apps can warm up indexes, cut query latency, and keep large-scale embedding search fast in production.

How to Use Drop Properties API for Vector Databases

Use the Drop Properties API to remove unused fields from v2 vector collections with RESTful JSON requests, batch-safe operations, and robust error handling so your AI apps can simplify schemas, cut storage overhead, and keep large embedding indexes performant in production.

How to Use Rename API for Vector Databases

Use the Rename API to safely rename v2 vector collections with RESTful JSON requests, batch-safe operations, and strong error handling so your AI apps can refactor collection names, clean up legacy schemas, and keep large-scale embedding systems organized without downtime.

How to Use Alter Properties API for Vector Databases

Use the Alter Properties API to fine-tune v2 vector collections with RESTful JSON requests, batch-safe updates, and robust error handling so your AI apps can adjust index settings, optimize performance, and evolve embedding behavior safely in production.

How to Use Release API for Vector Databases

Use the Release API to unload v2 vector collections from memory with RESTful JSON requests, batch-aware operations, and robust error handling so your AI apps can free RAM, rebalance resources, and keep large-scale embedding workloads stable in production.

How to Use Lists API for Vector Databases

Use the Lists API to organize and manage vector groups in v2 collections with RESTful JSON requests, batch operations, and robust error handling so your AI apps can structure embeddings, optimize queries, and scale vector workloads reliably in production.

How to Use Has API for Vector Databases

Use the Has API to quickly check whether v2 vector collections or records exist with RESTful JSON requests, batch-friendly checks, and solid error handling so your AI apps can validate data, guard critical workflows, and keep large-scale embedding systems reliable in production.

How to Use Add Field API for Vector Databases

Use the Add Field API to extend v2 vector collections with RESTful JSON requests, batch-safe schema changes, and robust error handling so your AI apps can add new metadata fields, optimize queries, and evolve embeddings at scale without downtime.

How to List All v2 in Vector Databases

Use the List API to enumerate all v2 vector collections with RESTful JSON requests, filters, and strong error handling so your AI apps can audit embeddings, monitor usage, and manage large-scale vector workloads efficiently in production.

How to Use Flush API for Vector Databases

Use the Flush API to persist in-memory vector data to durable storage with RESTful JSON requests, batch-safe operations, and solid error handling so your AI apps can safely commit updates, prevent data loss, and keep large-scale embedding workloads consistent in production.

What Are v2 Properties in Vector Databases?

Use the Describe API to inspect v2 vector database collections with RESTful JSON requests, batch-safe operations, and robust error handling so your AI apps can understand collection properties, tune performance, and manage embeddings reliably at scale.

How to Use Alter API for Vector Databases

Use the Alter API to update vector database schemas with RESTful JSON requests, batch-safe operations, and robust error handling so your AI apps can evolve collections, tune performance, and manage embeddings reliably at production scale.