graphql weaviate

We have hosted the application graphql weaviate in order to run this application in our online workstations with Wine or directly.

Quick description about graphql weaviate:

Weaviate is an open source vector search engine 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. 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), etc. Built from scratch in Go, Weaviate stores both objects and vectors, allowing for combining vector search with structured filtering and the fault tolerance of a cloud-native database. It is all accessible through GraphQL, REST, and various client-side programming languages. Weaviate is an open source vector search engine. Weaviate allows you to store and retrieve data objects based on their semantic properties by indexing them with vectors.

Features:

• Weaviate is an open source vector search engine
• Weaviate allows you to store and retrieve data objects based on their semantic properties by indexing them with vectors
• Weaviate can be used stand-alone (aka bring your vectors) or with a variety of modules that can do the vectorization for you and extend the core capabilities
• Weaviate has a GraphQL-API to access your data easily
• ?Weaviate ia fast (check our open source benchmarks)
• Out-of-the-box modules for NLP / semantic search, automatic classification, and image similarity search

Programming Language: Go.
Categories: