weaviate and weaviate-quickstart

The quickstart is a Docker Compose configuration that simplifies deployment of the main Weaviate vector database, making them complements rather than alternatives.

weaviate

Verified

weaviate-quickstart

Emerging

Maintenance 22/25

Adoption 15/25

Maturity 25/25

Community 19/25

Maintenance 0/25

Adoption 4/25

Maturity 16/25

Community 13/25

Stars: 15,793

Forks: 1,216

Downloads: —

Commits (30d): 448

Language: Go

License: BSD-3-Clause

Stars: 5

Forks: 2

Downloads: —

Commits (30d): 0

Language: Go

License: Apache-2.0

No risk flags

Stale 6m No Package No Dependents

About weaviate

weaviate/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.

Weaviate helps developers build powerful AI applications by storing and searching data based on its meaning, not just keywords. You feed it text, images, or other data, and it helps you find related information, power chatbots, or make recommendations. It's used by software engineers and data scientists creating smart applications that understand context.

semantic-search recommendation-systems AI-chatbots content-classification retrieval-augmented-generation

About weaviate-quickstart

soulteary/weaviate-quickstart

The simplest way to get started with Weaviate, including vector transformer service definition.

Related comparisons

weaviate and weaviate-cli weaviate and weaviate-io weaviate and weaviate-examples weaviate and awesome-weaviate weaviate and weaviate-javascript-client weaviate and weave-cli

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