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torvalds-dev / 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.
https://weaviate.io/developers/weaviate/
BSD 3-Clause "New" or "Revised" License
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what are the features of weaviate? #7

Open torvalds-dev opened 8 months ago

torvalds-dev[bot] commented 8 months ago

torvalds.dev is analyzing the ticket

torvalds-dev[bot] commented 8 months ago

Based on the README.md file, Weaviate is an open-source vector database that is robust, scalable, cloud-native, and fast. It allows you to turn your text, images, and more into a searchable vector database using state-of-the-art ML models.

Here are some of its features:

  1. Speed: Weaviate performs a 10-NN neighbor search out of millions of objects in single-digit milliseconds.

  2. Flexibility: You can use Weaviate to vectorize your data at import time, or you can upload your own vectors.

  3. Production-readiness: Weaviate is designed to take you from rapid prototyping all the way to production at scale. It is built with scaling, replication, and security in mind.

  4. Beyond search: Weaviate powers lightning-fast vector searches, but it is also capable of recommendation, summarization, and integrations with neural search frameworks.

  5. Integrations: Weaviate can be integrated with various services and model hubs such as OpenAI, Cohere, HuggingFace, and more.

  6. Interfaces: You can use Weaviate with Python, JavaScript/TypeScript, Go, and Java clients. It also provides a GraphQL API to retrieve objects and properties.

As for the actions that should be taken, it depends on the context of the issue. If you're looking to use Weaviate, you might want to start with the quickstart tutorial. If you're looking to contribute to the project, you might want to check out the contributor guide.

The relevant files to this issue are:

  1. README.md: This file contains a comprehensive overview of Weaviate, its features, and how to get started with it.
  2. .github/ISSUE_TEMPLATE/config.yml: This file might be relevant if the issue is about contributing to the project or needing help with something. It provides links to the community forum and slack where you can ask questions or give feedback.