Next Hackathon
AMD AI League
Starts Sep 1, 2026
Cohere API provides access to state of the art, affordable, and easy-to-deploy large language models capable of powering the next generation of game-changing AI native applications.
Powerful NLP Model
Flexible API
The Future of software
๐ The challenge for this hackathon is to build the most creative and innovative Semantic Search application using Cohere API.
๐ฅ $5000 API credits + $1000 cash
๐ $4000 API credits + $1300 cash to be distributed among the finalists
Additionally, all winning teams will receive exclusive Cohere Swag and have the chance to: Meet Cohere Founder for a virtual coffee & record a video of their demo that will be promoted on Cohere's channels!
Language models give computers the ability to search by meaning and go beyond searching by matching keywords. This capability is called semantic search.
Popular use case of semantic search is building a next generation web search engine. Impressive, but the applications of semantic search go beyond that! They can empower a private search engine for internal documents or records. They can be used to power features like StackOverflow's "similar questions" feature. And you can build many more things with it.
Semantic search is the most successful with text sources where the answer to a query is likely to be in a single, concrete paragraph, such as technical documentation or wikis which are organized as a list of instructions or facts.
Get the creative juices flowing and build a state of the art application of semantic search we havenโt seen yet!
We encourage you to explore semantic search with Basic Semantic Search notebook, Cohereโs docs and Toy Semantic Search sandbox. Sandbox is a collection of experimental, open-source GitHub repositories by Cohere that make building applications for developers fast and easy, regardless of ML experience.
๐ Check out basic Semantic Search example notebook by Cohere
๐ Build a simple Semantic Search engine with Cohere
๐ Check out docs on how to build a Try out semantic search
๐ Try out Toy Semantic Search sandbox
Text embeddings are a central component in machine language understanding. They are numeric representations of text (be it a document, an email, or even a sentence). An embedding model translates text into a list of numbers that capture its meaning. A multilingual embedding model is able to do that well for many languages.
This video demonstrates Cohere's multilingual embedding model, and its ability to represent many languages.
๐ Check out multilingual model Github repo
๐ Try out this cool multilingual movies search and recommendation demo
Signup for API Access
Cohere's API is currently free-to-use for everyone. Sign up for Cohere and start integrating NLP into your builds now!
Join lablab and Cohere for a week to innovate and build the new generation of NLP powered applications. Find all the relevant details below.
The hackathon starts on December 16th and ends on December 23rd. Over the weekend, you'll have the opportunity to learn from Cohere and lablab experts during workshops, keynotes, and mentoring sessions. The hackathon will take place on the lablab.ai platform.
Previous experience in AI is not required but welcomed. While many participants are industry experts, we also welcome people with other types of domain knowledge that want to understand & explore how AI can be used in their fields.
To get started with Cohere NLP API please signup using the following link: https://cohere.ai/signup. Your trial API key are free and has and can handle up to 100 calls per minute free of charge. You can find more information about the API here.
If you donโt have a team you will be able to match and team up with other participants around the world. Finding & creating teams can be done from the dashboard you can access after you enroll. We also recommend checking our Discord server to find teammates and discuss ideas. You can join it here
The hackathon will take place online on lablab.ai platform and lablab.ai Discord Server. Please register for both in order to participate. To participate click the "Enroll" button at the bottom of the page and read our Hackathon Guidelines.
To get prepared for the hackathon, we recommend you to start at our Cohere technology page where you can find all the relevant information about the API and how to use it plus cohere tutorials and cohere boilerplates.
Learn about the winning projects from previous episodes of the Cohere hackathons.
Prompt engineering and image generation tool.
An application that improves the efficiency of chat-based support systems.
A tool for finding and browsing books based on short prompts, keywords, or story plot.
We welcome domain experts from all industries, not just AI or tech. Successful AI solutions require a combination of technical expertise and domain knowledge. Coding experience is recommended.
You are welcome to join as a team or solo, if solo. We encourage you to look for a team before the event. We recommend you to join the Deep Learning Labs Discord channel: https://discord.gg/gCuBwBB35k and posting in the #looking-for-team channel to get to know your potential future team members.
It is recommended, that at least one team member has a Github account. You can create one for free if you don't already have one.
Feel free to reach us on social media, or through our Discord channel.
Next Hackathon
AMD AI League
Starts Sep 1, 2026
