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

Hidden AI allows everyone to discover the non-understandable pattern in the text.

Heuristic AI

Bayangmbe Mounmo

fr4merig

Heuristic AI brings browsing your Slack chat histories into a new dimension.
Fueled by Qdrant vector search engine and the Generative model of Cohere, Heuristic.ai extracts the context from your question and matches it with your chat messages to elaborate the answer. Forget keywords and chats scrolling. We give you the answer and the source message in seconds!

Vision: to enable people to find answers to any questions in their digital experience.
Mission: to bring browsing chat histories to a new dimension 

How it works: 
1. The user write normal query with the structure we have “hai, setup” or “hai, question”
2. Ngrok forward queries from slack_api to the Amazon server
3. Here, we evaluate the query to take action:
 - Setup from the sentence <hai, setup> or a sentence which contains hai and setup
 - Search: from the sentence that contains only the word hai
 - None, if the message sent in slack is a normal message
4. here we have two scenarios:
 - in the case of the setup action, we retrieve all the messages from all the channels, then encode them using co.embed prepare to be ready to store in Qdrant vector database
 - in the case of the search action, we encode the user query to retrieve the first 5 relevant messages from the conversations, then extract the answer to the user query from the first message retrieved using co.generate
5. Qdrant is the vectors search engine that allows us to store our vectors and to search on them.
6. Then lastly, the extracted answer is sent to the user.

Heuristic AI brings browsing your Slack chat histories into a new dimension.
Don’t recall what was discussed? Forget keywords and simply ask questions. Your new digital assistant will give you the answer. And it does it in seconds!

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"Heuristic AI team on Cohere and Qdrant Multilingual Semantic Search Hackathon Hackathon"

Team Idea

Submission