Milvus

Milvus

Zilliz
+
+

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About

Vector database built for scalable similarity search. Open-source, highly scalable, and blazing fast. Store, index, and manage massive embedding vectors generated by deep neural networks and other machine learning (ML) models. With Milvus vector database, you can create a large-scale similarity search service in less than a minute. Simple and intuitive SDKs are also available for a variety of different languages. Milvus is hardware efficient and provides advanced indexing algorithms, achieving a 10x performance boost in retrieval speed. Milvus vector database has been battle-tested by over a thousand enterprise users in a variety of use cases. With extensive isolation of individual system components, Milvus is highly resilient and reliable. The distributed and high-throughput nature of Milvus makes it a natural fit for serving large-scale vector data. Milvus vector database adopts a systemic approach to cloud-nativity, separating compute from storage.

About

OutcomeOps is a Context Engineering platform for enterprise software teams that deploys via Terraform directly into your AWS account — no shared infrastructure, no data leaving your environment. It delivers two capabilities on a single knowledge foundation: Organizational Intelligence: Connect GitHub, Confluence, Jira, SharePoint, Outlook, and MS Teams. Ask questions in plain English and get cited answers synthesized across all sources in seconds. Auto-generated code-maps make your entire codebase queryable without reading a single file. AI Engineering: Turn GitHub issues and Jira tickets into production-ready pull requests complete with code, tests, and infrastructure grounded in your own ADRs and architectural standards. Not autocomplete. End-to-end feature generation that enforces your organization's patterns. Supports multiple languages including SAP's ABAP. Typical feature generation costs $2–$4 in AWS Bedrock charges paid directly to AWS. Single-tenant, air-gap ready

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Enterprises in need of a solution to manage their vector data and create a large scale similarity search service

Audience

Enterprise software engineering teams, architects, product managers, and technical leadership at mid-to-large organizations who need AI-assisted code generation grounded in their own standards, and organizational knowledge that's queryable by anyone not just developers.

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Zilliz
Founded: 2020
United States
milvus.io

Company Information

OutcomeOps
Founded: 2025
United States
www.outcomeops.ai

Alternatives

Alternatives

Nia

Nia

Nozomio
Flowise

Flowise

Flowise AI

Categories

Categories

Integrations

Amazon S3
Apache Kafka
Apache Pulsar
Azure Blob Storage
Cognee
Database Mart
Docker
Docusign
Gmail
Google Drive
IBM watsonx.data
Jira
Kubernetes
Microsoft 365
Microsoft OneDrive
Microsoft Outlook
Microsoft SharePoint
Microsoft Teams
MinIO
Zilliz Cloud

Integrations

Amazon S3
Apache Kafka
Apache Pulsar
Azure Blob Storage
Cognee
Database Mart
Docker
Docusign
Gmail
Google Drive
IBM watsonx.data
Jira
Kubernetes
Microsoft 365
Microsoft OneDrive
Microsoft Outlook
Microsoft SharePoint
Microsoft Teams
MinIO
Zilliz Cloud
Claim Milvus and update features and information
Claim Milvus and update features and information
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