semantic-search-engine

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.

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

Very fast SPARQL Engine, which can handle very large knowledge graphs like the complete Wikidata, offers context-sensitive autocompletion for SPARQL queries, and allows combination with text search. It's faster than engines like Blazegraph or Virtuoso, especially for queries involving large result sets.

Main NNext Application Code

NucliaDB is a cloud-native database for unstructured data and vector, text, paragraphs and relations indexing

Expose a Top2Vec model with a REST API.

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

The semantic search engine where anyone can define anything anywhere

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

[WIP] Behold, semantic-search, built over sentence-transformers to make it easy for search engineers to evaluate, optimise and deploy models for search.

A compilation of Vector Search Databases

Combined semantic similarity search based visual search engine.

MedSearch is a Medical Knowledge Extraction System that incorporates Neural Search, Q&A, Summarization, etc. from the medical literature.

PACE (Podcast AI for Chapters and Episodes) is a semantic search engine that helps you find the information you need, inter- and intra-podcasts (Project for the AssemblyAI Winter 2022 Hackathon).

COVID-19 Open Research Dataset Challenge (CORD-19)

Cherrry Javascript SDK

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

Semantic web oracle.

Unstructured data refers to information that is not organised using a predetermined data model or schema and cannot be stored in a conventional relational database system. There are several methods for search unstructured data semantically- That is by taking the actual context/meaning of the sentences.One best approach is index based approach.