Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

Weaviate is a cloud-native, realtime vector search engine that allows you to bring your machine learning models to scale

Super-Efficient SPARQL Engine, which can handle very large datasets like Wikidata, allows combination with Text Search, and offers support for fast Autocompletion. It's faster than anything else out there, in particular faster than Blazegraph or Virtuoso. The index builds are also much faster.

The semantic search engine where anyone can define anything anywhere

Expose a Top2Vec model with a REST API.

Document Search Engine project with TF-IDF abd Google universal sentence encoder model

Mining and Utilizing Dataset Relevancy from Oceanographic Datasets to Improve Data Discovery and Access, online demo: https://mudrod.jpl.nasa.gov/#/

Deeplearing based Reverse Image Search using Annoy library

PHP Marmotta Client

Creating a semantic search engine by making use of genism-topic modelling and flask framework

Repositório destinado ao Trabalho de Conclusão de Curso

Examples of how to use IP Street's semantic search to perform prior art search and find relevant documents

Semantic Video Search Engine

Applied Word Vectorization Technique to Semantic (Web) Video Search Engine

This repository will contain a demo using Weaviate with data and metadata from the arXiv dataset.