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

Flying from dataset to dataset forming chains of common-sense reasoning as we go..

Dragon

Shivalika Singh

StarLord

Legal-ease is a web-app hosting a suite of tools useful for simplifying legal documents for common use.  In this way, Legal-ease offers tools to perform:
1. QnA over legal documents 
2. Document summarization
3. Cross-lingual search
This is great for people who dont have the time, are not native speakers of english or otherwise struggle with legal documents on a day to day basis. It is also useful for lawyers and researchers with access to a large collection of legal documents. Summarization is handled via cohere, QnA is handled via langchain, cohere's embeddings and LLM, and qdrant's excellent vector DB search.

Legal-ease is a web-app hosting a suite of tools useful for simplifying legal documents for common use.

"Dragon team on Cohere and Qdrant Multilingual Semantic Search Hackathon Hackathon"

Team Idea

Submission