GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Vearch is a distributed vector search engine for AI-native applications, supporting cloud-native deployment and retrieval-augmented generation.
Good fit when
- When you need a cloud-native deployment option for vector search, as Vearch supports Kubernetes deployment out-of-the-box.
- If your application requires retrieval-augmented generation, Vearch is designed to integrate seamlessly with such requirements.
Avoid when
- If your project does not require cloud-native deployment or Kubernetes integration, Vearch might offer more features than necessary.
- If your application does not benefit from retrieval-augmented generation, Vearch's specialized features might not be fully utilized.
- Pricing:
- freemium - Vearch is free and open-source under the Apache License, Version 2.0, with no additional costs for the core software.
- Requirements:
- Min 2 GB RAM; Vearch supports Kubernetes deployment, which requires a Kubernetes cluster.
Observed Sep 18, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Steady (53d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- 20 low (20 low)
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install vearch PyPIHow it fits your stack(11)
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Overview
Vearch is a distributed vector search engine designed for AI-native applications, supporting cloud-native deployment and retrieval-augmented generation.
Capability facts
- Languages
- python
Source: github.language · Sep 18, 2026
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README
Quick start Kubernetes Deployment ``` License Vearch is licensed under the Apache License, Version 2.0. For complete licensing details, please see LICENSE and NOTICE in our repository. <div align="center" <small © 2019 Vearch Contributors. All Rights Reserved.</small </div
For agents
This page has a .md twin and JSON over the API.