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SeMI's Weaviate

SeMI's Weaviate lets you run vector database for scalable search entirely on your own server.

BSD-3-Clause Free semi-technologies/weaviate · 16K semi.technology Go 5 deploy options REST API

Overview

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​. The project has 16K+ GitHub stars and is licensed under BSD-3-Clause.

Getting Started

Source: GitHub README

Weaviate offers multiple installation and deployment options:

  • Docker
  • Kubernetes
  • Weaviate Cloud

See the installation docs for more deployment options, such as AWS and GCP.

Normalized Features

Source: tool-features-normalized.json

docker, docker compose, kubernetes, npm, pip, rest api.

Deploy

Docker

Self-host with Docker Compose

Coolify

One-click via Coolify panel
elestio

Elestio

Managed hosting from $9/mo
pikapods

PikaPods

Simple managed hosting

Features

Integrations & APIs

  • REST API

Category

Databases & Data Tools (122)

Replaces

Algolia
17 tools
google-vertex-ai
Google Vertex AI
2 tools

Compare SeMI's Weaviate

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SeMI's Weaviate

Both are database tools. Dgraph has 2 unique features, SeMI's Weaviate has 2.
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Jina.ai vs
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Jina vs
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Both are database tools. Jina has 1 unique feature, SeMI's Weaviate has 2.
Milvus vs
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Both are database tools. Milvus has 6 unique features, SeMI's Weaviate has 3.

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