YoVDO

Semantic Search through the Complete Wikipedia with Weaviate’s GraphQL API

Offered By: React Conferences by GitNation via YouTube

Tags

Conference Talks Courses Data Retrieval Courses Wikipedia Courses Semantic Search Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore semantic search capabilities through the entire Wikipedia dataset using Weaviate's GraphQL API in this conference talk from GraphQL Galaxy 2021. Learn how to leverage vector search technology to perform advanced queries and retrieve contextually relevant information from the vast Wikipedia knowledge base. Discover the power of combining GraphQL with machine learning-driven search to enhance information retrieval and unlock new possibilities for data exploration. Gain insights into implementing semantic search functionalities in your own applications and understand the potential impact on improving user experiences and information discovery.

Syllabus

Semantic Search through the Complete Wikipedia with Weaviate’s GraphQL API - Bob van Luijt


Taught by

React Conferences by GitNation

Related Courses

Building Geospatial Apps on Postgres, PostGIS, & Citus at Large Scale
Microsoft via YouTube
Unlocking the Power of ML for Your JavaScript Applications with TensorFlow.js
TensorFlow via YouTube
Managing the Reactive World with RxJava - Jake Wharton
ChariotSolutions via YouTube
What's New in Grails 2.0
ChariotSolutions via YouTube
Performance Analysis of Apache Spark and Presto in Cloud Environments
Databricks via YouTube