Top Builders

Explore the top contributors showcasing the highest number of app submissions within our community.

Cohere

Cohere provides access to advanced Large Language Models and NLP tools through one easy-to-use API. They provide multiple models such as Generate, Embed, Semantic Search or Classify

Cohere is a Canadian company that specializes in artificial intelligence. Their mission is to help businesses harness the power of AI to improve their operations. Cohere offers a suite of AI-powered tools that can be used to automate tasks, improve customer service, and boost sales. Their products are designed to be easy to use and integrate with existing business systems. The Cohere natural language processing platform makes it easier for developers to build natural language processing models into applications and helps companies infuse natural language processing capabilities into their business using tools like chatbots, without requiring AI expertise of their own.

General
CompanyCohere
Founded2019
Repositoryhttps://github.com/cohere-ai/
DiscordJoin the Cohere channel on Discord

Start building with Cohere

Cohere has an amazing potential and extraordinary potential usage - you can incorporate it into many of your app ideas and it will solve many of the problems you faced perfectly.

Cohere Embed

For ML teams looking to build their own text analysis applications, Embed offers high-performance, accurate embeddings in English and 100+ languages.

You can easily use Cohere Embed for your app, and all necessary APIs, boilerplates, tutorials explaining how to do so and more, you can find on our Cohere Embed tech page.

Cohere Generate

Generate produces unique content for emails, landing pages, product descriptions, and more.

You can easily use Cohere Generate for your app, and all necessary APIs, boilerplates, tutorials explaining how to do so and more, you can find on our Cohere Generate tech page.

Cohere Classify

Classify organizes information for more effective content moderation, analysis, and chatbot experiences.

You can easily use Cohere Classify for your app, and all necessary APIs, boilerplates, tutorials explaining how to do so and more, you can find on our Cohere Classify tech page.

Neural Search provides powerful semantic search capabilities that find text, documents, and articles based on meaning, not just keywords.

You can easily use Cohere Neural Search for your app, and all necessary APIs, boilerplates, tutorials explaining how to do so and more, you can find on our Cohere Neural Search tech page.

Cohere Boilerplates

Kickstart your development with a Cohere based boilerplate. Boilerplates is a great way to headstart when building your next project with Cohere.

Cohere Libraries

A curated list of libraries and technologies to help you build great projects with Cohere.

  • Cohere Node This package provides functionality developed to simplify interfacing with the cohere.ai natural language API. This SDK provides support for both TypeScript and JavaScript Node.js projects.
  • Cohere Go This package provides functionality developed to simplify interfacing with the cohere.ai natural language API in Go.
  • Cohere Python This package provides functionality developed to simplify interfacing with the Cohere API in Python 3.
  • Cohere Ruby This package provides functionality developed to simplify interfacing with the cohere.ai NLP API in Ruby.

Cohere Sandbox

Sandbox is a collection of experimental, open-source GitHub repositories that make building applications using large language models fast and easy with Cohere.

Edit on GitHub

Cohere AI Technologies Hackathon projects

Discover innovative solutions crafted with Cohere AI Technologies, developed by our community members during our engaging hackathons.

SentinelOps AI Autonomous Robotics Engine

SentinelOps AI Autonomous Robotics Engine

SentinelOps AI is a simulation-first robotics platform designed to demonstrate how autonomous systems reason, decide, and adapt in dynamic environments. The platform combines a robotics state simulator, an AI-driven decision engine, and structured event logging into a modular backend architecture built with FastAPI. Each simulation step updates the robot’s state, generates events, and triggers an AI reasoning loop that selects the next optimal action with confidence scoring. All decisions and events are logged for traceability, auditability, and system analysis. The goal of SentinelOps AI is to bridge the gap between artificial intelligence and robotics by showcasing clean API design, scalable backend structure, and autonomous control logic in a production-style system. The project emphasizes transparency, modularity, and intelligent automation as foundations for next-generation robotics platforms.

GenAI Giants

GenAI Giants

GenAI Giants is an AI-powered platform built to transform learning, developer productivity, and innovation at scale. Our vision is to create inclusive, cloud-native solutions that empower users across India by supporting multiple local languages and bridging the gap between cutting-edge technology and accessibility. By integrating seamlessly with modern developer workflows, IDEs, and CI/CD pipelines, the platform enables faster coding, intelligent automation, and effortless scalability for projects of all sizes. At its core, GenAI Giants is more than a productivity tool—it is a movement to democratize AI knowledge and make advanced technology accessible to everyone, regardless of language or background. We emphasize social impact by fostering collaboration, nurturing talent, and building a community where developers can learn, innovate, and grow together. The platform leverages strategic cloud architecture and multilingual AI capabilities to deliver a robust ecosystem that supports diverse use cases—from education and skill development to enterprise-grade automation. By combining scalability, inclusivity, and innovation, GenAI Giants aims to accelerate digital transformation across industries while ensuring that technology remains accessible to all. Ultimately, our mission is to empower developers and learners with tools that not only enhance productivity but also drive meaningful change. GenAI Giants stands as a bridge between advanced AI and real-world impact, creating opportunities for growth, collaboration, and innovation across India and beyond.

Vector Insight Engine

Vector Insight Engine

Vector Insight Engine is a project aware AI memory system designed to solve a real pain point: information inside reports, research notes, and PDFs remains difficult to search, link, or reason over. Traditional chatbots can summarize, but they cannot tell you where their answers came from. This project ingests raw text or PDFs, breaks them into semantic chunks, and embeds them into Qdrant. When a user asks a question, the engine retrieves the most relevant evidence and asks Gemini to generate an answer grounded strictly in that context. The interface displays both the final answer and the supporting snippets, creating a transparent and verifiable reasoning chain. The result is a lightweight but powerful workflow for analysts, students, and teams working across multiple clients or topics. Each project becomes a persistent AI memory layer where documents are connected, searchable, and interpretable instead of static files. This system demonstrates practical RAG design, clean engineering, and real world usefulness beyond a typical chatbot demo.

AI-Powered Code Refactoring

AI-Powered Code Refactoring

SmartRefactor is an AI-driven coding assistant built with modern technologies like Streamlit, pygwalker, pandas, and advanced transformer models from Mistral and Cohere, enabling a seamless, intelligent refactoring experience. Traditional code refactoring is often slow, error-prone, and resource-intensive—developers spend countless hours improving readability, reducing technical debt, and ensuring performance without adding new features. SmartRefactor transforms this process by automating refactoring while ensuring full functionality. Through intelligent code analysis powered by state-of-the-art AI models, SmartRefactor understands structure, detects inefficiencies, and proposes optimized solutions in real time. With multi-language support (Python, TypeScript, JavaScript, and more to come), it not only refactors but also beautifies and optimizes code for performance. The platform caters to developers at all levels: freelancers save valuable time, startups maintain scalable and maintainable codebases, and enterprises dramatically reduce the costs of technical debt. Beyond automation, SmartRefactor doubles as an educational tool, explaining changes to help developers adopt best practices. Our SaaS business model includes a freemium tier for individuals, a pro subscription with advanced features, and enterprise solutions with CI/CD pipeline integration. Looking ahead, SmartRefactor aims to integrate directly with IDEs and version control systems, expand language coverage, and offer team dashboards for tracking organizational code health. In short, SmartRefactor is like “Grammarly for Code”—built with cutting-edge tools like Streamlit-antd-components, streamlit-navigation-bar, streamlit-ace, and AI-powered backends—to help developers write cleaner, faster, and more reliable software while saving time, reducing costs, and accelerating innovation.

AMRRA

AMRRA

One of the biggest challenges in modern research is dealing with information overload. Analysts, researchers, and organizations often need to process vast amounts of unstructured data—ranging from academic papers and PDFs to dynamic web content. Manually filtering, extracting, and validating insights is time-consuming, prone to bias, and difficult to scale. Our project addresses this gap by building a mini AI research lab, a system that combines retrieval, structured extraction, experimentation, and judgment. At its core, we use GPT-5 efficiently as a multi-role reasoning agent rather than just a conversational assistant. For example, GPT-5 powers the Extractor, transforming raw text into structured evidence with minimal noise. The Experimenter module leverages GPT-5 to simulate hypotheses, cross-check facts, and test consistency across different sources. Finally, the Judge role allows GPT-5 to evaluate credibility, logical soundness, and contextual relevance—acting as a safeguard against misinformation. By integrating GPT-5 with hybrid retrieval (FAISS + BM25), we ensure precise context delivery while minimizing token usage. This efficient workflow solves a real-world problem: enabling faster, more reliable, and scalable knowledge discovery.

Medical recommendations system

Medical recommendations system

Medical Recommendation System A medical recommendation system is an AI-powered tool designed to assist patients and healthcare providers by analyzing Sure! Here’s a slightly more detailed short description: Medical Recommendation System is an AI-based solution that analyzes patient symptoms, medical history, and health data to provide accurate suggestions for possible diseases, treatments, and specialist consultations. It helps in early diagnosis, reduces human error, and makes healthcare more personalized and accessible for patients as well as supportive for doctors in decision-making. Would you like me to make this formal for a project report or simple for a presensymptoms, medical history, and health data. It suggests possible conditions, recommends treatments or preventive measures, and guides patients toward appropriate specialists. By using machine learning and medical databases, it improves decision-making, enhances early diagnosis, and makes healthcare more accessible and personalize