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Weaviate

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

View on GitHub Official site
Vector Databases BSD-3-Clause Easy setup 16,632 stars

Overview

Description

Weaviate is an open-source vector database that lets you build AI applications like semantic search, RAG, and recommendations from a single platform without stitching together separate tools. You get production-grade reliability, built-in multi-tenancy, and cost-efficient scaling out of the box. The bottom line: faster development cycles and simpler operations for teams shipping AI-powered products.

Technical scorecard

License

BSD-3-Clause

Commercial use

Yes

OpenAI-compatible API

No

REST API

Yes

Fine-tuning support

No

Quantization support

Yes

Docker available

Yes

GUI / no-code available

No

Telemetry

Unknown

Offline after setup

Yes

Data & Privacy

Does it send data online?

After setup, this listing is marked as usable offline. Confirm network behavior against the upstream project before regulated deployment.

Does it store history?

Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.

License checks?

Commercial use is marked as allowed or likely allowed by the listed license.

Telemetry?

Unknown

Last verified: Jul 22, 2026. Maintainer verification should be treated as directory guidance, not legal advice.

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Setup & Installation

Easy

A developer can usually get this running with standard docs.

# Start with the official project repository
# https://github.com/weaviate/weaviate

Hardware Requirements

Hardware tagsCPU
LanguagesGo

Works Well With