Cohere and Qdrant Multilingual Semantic Search Hackathon

Team formation and Hack Commences

This is an awesome guide for beginners by Kacper Lukawski

Introduction to Vector Databases - by Qdrant 

Introduction, Lablab.ai mission and vision, Paweł Czech and Mathias Asberg

Kick-Off Stream

Intodiction Talk from Hackathon tech partners about possibilities and challenges you will have during this event

Cohere x Qdrant opening

You will discover lablab.ai platform, also Hackathon challenge, tech and prizes

Hackatho guide

Intro to Semantic Search part 1

Intro to Semantic Search part 2

Tips & Tricks for using Qdrant

Qdrant x Cohere: Powering Semantic Search

It's the last moment you can submit your solution for the Hackathon

Submission Deadline

Multilingual semantic search engine using Cohere & Qdrant NLP and ML tools for cross-lingual search.

Polyglot Searchers

Elias

Umar Lawan Sani

Prosper Orjiogo

Hannah

SohaibAamir28

Adrian Oleś

Language Matchmaker is an app that aims to help language learners find conversation partners who share their interests and language proficiency levels. The app will use Cohere's multilingual semantic search technology to analyze user profiles and match them with other users who have similar interests and language skills.

Users will create a profile on the app where they can specify their native language, target language(s), and interests. The app will then use Cohere's technology to identify commonalities between users and present them with a list of potential conversation partners. The Qdrant technology will be used to rank the matches based on similarity and provide recommendations for the best matches.

Once a match is made, users can schedule a virtual conversation through the app and practice their language skills with their partner. The app will also provide conversation prompts based on the users' interests to facilitate the conversation.

We highlighted the unique features of the app, such as the use of Cohere and Qdrant technologies to match users based on shared interests and language proficiency, and the ability to schedule virtual conversations through the app. You can also discuss the potential use cases of the app, such as for language learning, cultural exchange, or making new friends from different parts of the world.

For the app development, we will use programming languages like Python that integrates the Cohere and Qdrant APIs.

Language Matchmaker is a multilingual matchmaking app that connects users with language exchange partners based on shared interests and language proficiency.

"Polyglot Searchers team on Cohere and Qdrant Multilingual Semantic Search Hackathon Hackathon"

Team Idea

Submission