Give Your AI Agents Long-Term Memory

Zilliz Cloud provides the vector infrastructure AI agents need to remember context, retrieve knowledge, and take action — powering coding assistants, AI notetakers, chatbots, and more.

AI Agents Powered by Zilliz Cloud

Build intelligent AI agents that remember context, retrieve knowledge, and take action across every workflow using Zilliz Cloud

Code

AI Coding Copilot

Build coding assistants that search across your entire codebase, documentation, and error logs to give developers accurate, context-aware suggestions — without hallucinating APIs or functions that don't exist.

Notes

AI Notetaking & Meeting Assistant

Capture, organize, and retrieve meeting notes, decisions, and action items across conversations and time. Let agents surface the right context from any past meeting — instantly, without manual search.

Chat

AI Chatbot & Conversational Assistant

Build chatbots that remember context across sessions, retrieve relevant knowledge from your data, and deliver accurate, personalized responses — without hitting LLM context limits.

Assist

Enterprise AI Assistants

Build internal assistants that search across company knowledge — docs, Slack, emails, wikis, tickets — and return precise answers with source attribution. Give every employee an expert on demand.

Sales

AI Sales Copilot

Equip sales teams with agents that retrieve prospect history, surface relevant case studies, and draft personalized outreach — grounded in your CRM and product knowledge, not hallucinations.

Data

AI Data & Analytics Agent

Let business users ask questions in plain language and get accurate, data-grounded answers. Agents retrieve relevant context, query data, and generate insights — no SQL required.

Research

AI Research Agent

Build agents that autonomously gather, retrieve, and synthesize information from multiple sources — surfacing relevant findings and generating grounded summaries on demand.

Ops

AI Operations Agent

Automate complex workflows by building agents that monitor systems, retrieve relevant runbooks, and take action — reducing manual effort across IT operations, DevOps, and business processes.

Why Zilliz?

Why AI Teams Choose Zilliz Cloud?

AI agents are only as capable as their memory. Zilliz Cloud gives agents persistent, fast, and scalable long-term memory — retrieving the right context in under 10ms, across billions of interactions, without hitting LLM context limits.

100K+QPS

Handle millions of agent memory lookups without slowing down

AI agents make frequent, concurrent retrieval calls — fetching memory, context, and knowledge at every reasoning step. Zilliz Cloud sustains 100K+ queries per second with stable p99 latency, so your agents stay responsive under any load.

10B+Vectors

Give your agents memory that scales with your data

Agents need access to everything — product knowledge, past conversations, internal documents, code history. Zilliz Cloud handles 10B+ vectors without sharding, so your agents can index and retrieve across your entire knowledge base.

-10xCost

Run long-term agent memory without the infrastructure bill

Persistent agent memory means continuously growing vector indexes. Zilliz Cloud's compression and tiered storage keep the cost of long-term memory 10x lower than alternatives — so you can scale your agents without scaling your infrastructure budget.

< 10msLatency

Memory retrieval fast enough to keep agents in flow

Slow retrieval breaks agent reasoning. Zilliz Cloud returns the most relevant context in under 10ms — fast enough to fit inside tight LLM inference loops without adding noticeable latency to your agent's response time.

Hybrid search out of the box

Hybrid search out of the box

Combine dense vector search with keyword matching and metadata filters in a single retrieval call — giving agents results that are both semantically relevant and contextually precise.

Automatic and elastic scaling

Automatic and elastic scaling

Automatically scales compute and storage up or down as your traffic and data size changes — with no capacity planning, index rebuilding, or sharding ever required.

Native multi-tenant architecture

Native multi-tenant architecture

Built-in tenant isolation keeps AI workloads secure and prevents noisy-neighbor slowdowns — so millions of teams or apps can run reliably on the same platform.

Ease of use

Ease of use

Go from zero to production-ready vector search in minutes. Zilliz Cloud runs the infrastructure, handles scaling, and manages the Ops — so your team never has to.

Multi-cloud flexibility

Multi-cloud flexibility

Run on AWS, Azure, or GCP across 30+ regions worldwide, ensuring Zilliz Cloud's capabilities are always close to your users and within your infrastructure strategy.

Enterprise-grade reliability and compliance

Enterprise-grade reliability and compliance

99.95% SLA with SOC 2, ISO 27001, GDPR, and HIPAA compliance — plus regional failover and BYOC support for enterprise workloads.

Trusted by AI Builders

Learn how industry leaders and startups build AI applications using Zilliz Cloud/Milvus Vector Database

Contact Sales
  • Filevine
  • Gorgias
  • Read ai
  • Rexera
  • Jobright
  • verbaflo

Build AI Applications with your Favorite Tools