weaviate

Weaviate is an open source vector database that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud-native database, all accessible through GraphQL, REST, and various language clients.

graphql search-engine machine-learning database deep-learning

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6.7k Stars

389 Forks

6.7k Watchers

Go Language

bsd-3-clause License

Cost to Build

$54.07M

Market Value

$171.39M

How is this calculated?

Growth over time

12 data points · 2021-08-01 → 2023-07-01

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What is the weaviate/weaviate GitHub project? Description: "Weaviate is an open source vector database that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud-native database, all accessible through GraphQL, REST, and various language clients.". Written in Go. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone weaviate

Clone via HTTPS

git clone https://github.com/weaviate/weaviate.git

Clone via SSH

[email protected]:weaviate/weaviate.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the weaviate issue tracker:

Open GitHub Issues

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