Name: Weaviate
Rating: 5.0 (11 reviews)

The AI-native database for a new generation of software. Store and retrieve data objects and vector embeddings. Seamlessly connect to your favorite ML models. And build intuitive, reliable AI applications that scale.

Setapp — Grow, and monetize your app with unified AI gateway

Grow, and monetize your app with unified AI gateway

Hi developers, data scientists, and all those interested in ML & AI 👋 I'm Bob, one of the co-founders of SeMI Technologies. I'm super excited to share the vector search engine Weaviate with you today on PH. We've created Weaviate because we believe that there was a need for a new type of search engine (or database) with machine learning at its core. The video above will give you an overview of the functionality of Weaviate, but you can also try it yourself by going to our Github or documentation. If you are a developer looking for a more detailed explanation of what Weaviate is: Weaviate is a low-latency vector search engine with out-of-the-box support for different media types (text, images, etc.). It offers Semantic Search, Question-Answer-Extraction, Classification, Customizable Models (PyTorch/TensorFlow/Keras), and more. Built from scratch in Go, Weaviate stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance of a cloud-native database, all accessible through GraphQL, REST, and various language clients. You can follow us on Github, Twitter, or LinkedIn and you can join our Slack or Meetup groups. Github: https://github.com/semi-technolo... Slack: https://link.semi.technology/3d3... Documentation: https://www.semi.technology/deve... We love to hear what you think! Cheers

Setapp — Grow, and monetize your app with unified AI gateway

Grow, and monetize your app with unified AI gateway

Weaviate gives us fast, semantic search across unstructured call data, crucial for surfacing insights in real time. Its native vector support and scalability made it the best fit for building an AI native platform like Insight7.

At Lamatic, we’re excited to use Weaviate as our vector database solution! Weaviate’s powerful vector search and flexible deployment options allow us to manage complex data with ease and precision. Its high-performance, AI-first design enables us to deliver faster, more relevant results to our users, helping us take our product to the next level.

We chose Weaviate for its great developer experience and seamless integration with vector search and AI-powered queries. It makes working with embeddings and content indexing much simpler.

Weaviate

The AI-native database for a new generation of software

The AI-native database for a new generation of software

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Weaviate Launches

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Have a question about Weaviate? Ask it here and get a real answer.

Weaviate Launches

Do you use Weaviate?

Maker Comment

What's great

What's great

What's great

What's great