Overview

Plain English

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.

Technical

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.

Technical scorecard

License BSD 3 Clause

Commercial use Yes

OpenAI-compatible API No

REST API No

Fine-tuning support No

Quantization support No

Docker available No

GUI / no-code available No

Telemetry None

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?

None

Last verified: May 17, 2026. Maintainer verification should be treated as directory guidance, not legal advice.

Setup & Installation

Medium

A developer can usually get this running with standard docs.

Prerequisites

Go, Docker, Kubernetes, Bare Metal

# Start with the official project documentation
# https://weaviate.io/

Hardware Requirements

RAM8 GB minimum / 16 GB recommended

Hardware tagsCPU Only

Model formatsNot specified

Primary languageGo

Works Well With

RAGFlow RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs. PrivateGPT Secure document Q&A system designed for sensitive data with no internet connection required for full operation. Marker Fast document converter transforming PDFs, EPUBs, and MOBI files into accurate markdown for LLM ingestion. Haystack (Deepset) Production-ready framework for building RAG and search systems with pipeline architecture and built-in evaluation tools.

Open suggested stack

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