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Weaviate download for Linux

Free download Weaviate Linux app to run online in Ubuntu online, Fedora online or Debian online

This is the Linux app named Weaviate whose latest release can be downloaded as v1.18.1-FasterCross-RefFiltering,FixesforMany-Class-Setups,BM25_Hybrid,Replication,andmore.zip. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named Weaviate with OnWorks for free.

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- 1. Downloaded this application in your PC.

- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 3. Upload this application in such filemanager.

- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.

- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application, install it and run it.

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Weaviate


DESCRIPTION

Weaviate in a nutshell: Weaviate is a vector search engine and vector database. Weaviate uses machine learning to vectorize and store data, and to find answers to natural language queries. With Weaviate you can also bring your custom ML models to production scale. Weaviate in detail: 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.



Features

  • Out-of-the-box modules for: NLP/semantic search, automatic classification and image similarity search
  • Easy to integrate into your current architecture, with full CRUD support like you're used to from other OSS databases
  • Cloud-native, distributed, runs well on Kubernetes and scales with your workloads
  • Weaviate has a modular setup that allows you to use your ML models inside Weaviate, but you can also use out-of-the-box ML models (e.g., SBERT, ResNet, fasttext, etc)
  • Weaviate takes care of the scalability, so that you don't have toDeploy and maintain ML models in production reliably and efficiently


Programming Language

Go


Categories

Machine Learning

This is an application that can also be fetched from https://sourceforge.net/projects/weaviate.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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