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

Zilliz Vector Database

Zilliz Technologies, the creators of Milvus, presents Zilliz Cloud, the go-to solution for efficient vector search and manipulation. Trusted by over 5000 enterprises globally, Zilliz Cloud simplifies vector search applications, enabling developers to harness the full potential of advanced vector search capabilities.

General
AuthorZilliz
PlatformExplore
TypeVector Database

Zilliz Overview

Zilliz Cloud is a fully-managed service built upon Milvus, the leading open-source vector database. With over 23,000 stars on GitHub and 3.8 million+ downloads, Milvus has solidified its position as the fastest-growing vector database. Zilliz Cloud extends Milvus' capabilities, supporting billion-scale vector search effortlessly, earning trust from over 1,000 enterprise users worldwide.

Zilliz Tutorials

Technology Resources

  • Zilliz Cloud Documentation - Dive into detailed documentation for a comprehensive understanding of Zilliz Cloud's features and functionalities.

Zilliz Cloud simplifies the deployment and scaling of vector search applications by eliminating the complexities of infrastructure management. Its fully-managed service enables developers to build and scale AI applications with confidence.

Discover the endless possibilities with Zilliz Cloud's vector database capabilities. Sign up for a free Zilliz Cloud account, access our official SDKs, create your initial collection, and perform vector similarity searches to supercharge your AI applications within minutes. As you prepare to launch your application, seamlessly upgrade to a pay-as-you-go plan.

For more information and to explore diverse use cases, visit Zilliz Use Cases.

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Zilliz AI technology page Hackathon projects

Discover innovative solutions crafted with Zilliz AI technology page, developed by our community members during our engaging hackathons.

Global AI Study-Abroad Operating System

Global AI Study-Abroad Operating System

We are building domain-specialized AI agents that replace 50–70% of the judgment work inside study-abroad consulting and English test-prep. Instead of automating small tasks, our system automates end-to-end reasoning: school matching, essay evaluation, scoring, requirement parsing, deadline tracking, teacher routing, and personalized strategy. These steps normally require experienced consultants and do not scale with human labor. Agencies run on our multi-tenant AI operating system, where multiple agents collaborate to execute complete workflows from intake to submission. Each agent performs structured, auditable reasoning over policies, program data, and historical outcomes, delivering consistent consultant-level decisions at far higher throughput. For students, we provide instant university matching, essay scoring, and IELTS/TOEFL prediction—creating a high-value acquisition funnel that naturally drives B2B adoption. This leap is possible now because LLMs can finally perform reliable multi-step educational reasoning, while the industry faces rising labor costs and a shortage of qualified teachers. What used to be “optional automation” has become core infrastructure for agencies. Our system is powered by a global university knowledge graph covering 1,500+ institutions with structured program data, requirements, rankings, deadlines, and essay prompts. This provides the domain context needed for agents to produce consistent, explainable, policy-aligned decisions that competitors cannot easily replicate. We already have 200+ weekly active students and three agency pilots, including one paying customer. Agencies continuously request deeper automation because our system increases consultant productivity by 2–3× while standardizing quality. By automating judgment—not just tasks—we are creating scalable AI infrastructure for study-abroad and English-prep operations, with broad applicability to other credentialing and training workflows.

AI-driven Team Formation

AI-driven Team Formation

When a company gets a big project with a tight deadline, they face several challenges: Problem: - Time pressure: Not enough time to manually assess every employee's suitability. - Talent blind spots: Hidden or underutilized talents go unnoticed. - Bias and inconsistency in role assignments. - Cross-team collaboration gaps (who's available, who’s overloaded, etc.) - Need for immediate team readiness without the luxury of trial and error. My Tool Fixes This By: - Rapidly analyzing internal employee data (CVs, project history, feedback). - Auto-matching people to project roles based on real evidence, not just titles. - Providing explanations: Why this person fits, what gaps they might have, how to cover them. - Suggesting team composition instantly → making project kickoff much faster and smarter. I am proposing a role-fit AI engine that: - Works under tight timelines - Analyzes holistic data - Suggests ready-to-go teams - Justifies its decisions with explainable AI reasoning

CodeChrono

CodeChrono

In software development, time is not only money it also acts as memory. Chrono is genuinely an Al-native SaaS platform that captures and sets in stone a developer's decision-making process, climbing up debugging speed, and foster collaboration and long-term knowledge retention. Today, developers face fragmented workflows, unclear commit histories, and the recurring feeling of lost memory for specific changes. Chrono tackles all these problems by converting. the development journey into a dynamic and interactive timeline logging everything from voice annotation, task activities, commit codes, and bug traces. Developers can voice-record their instructions using Novita Al. These voice instructions are transcribed, contextually structured, and tagged with intelligence. Trac Al agents track work progress, code changes, and project decision-making, then compose these into a neat and searchable timeline. As Zilliz vector database supports natural language search, users can simply ask pertinent queries such as "Why was Redux removed?" or "What triggered the onboarding issue?" and retrieve the actual context immediately. Chrono targets solo developers, remote teams, and startup in agile settings working on reducing technical debt, speeding up onboarding, and preserving intent.

Your AI Assistant for Flights and Hotels

Your AI Assistant for Flights and Hotels

Our project is an AI-powered web application designed to revolutionize the travel booking experience by seamlessly integrating flight and hotel reservations in a single intelligent platform. The core of our system is an interactive AI chatbot that assists users in finding and booking flights and accommodations based on their preferences, budget, and travel dates, all in real-time. Built using Python for backend logic and HTML/CSS for a clean, responsive frontend, the application delivers both functionality and user-friendly design. We’ve incorporated Trae for efficient routing and API management, enabling smooth communication between different services. For natural language understanding and conversational intelligence, we integrated Novita AI API, allowing the chatbot to interpret user intent accurately and provide relevant responses. To enhance data retrieval and similarity search, we used Zilliz, a powerful vector database, which allows the system to recommend personalized options by matching user queries with a large dataset of travel offerings. This smart booking assistant not only simplifies the search process but also enhances user engagement through real-time recommendations, availability checks, and a fully interactive experience, making travel planning faster, smarter, and more convenient.

ReframeAI

ReframeAI

ReframeAI is an AI-powered website transformation tool that helps users modernize and enhance the design of any existing website. The tool leverages advanced AI models to analyze the structure, styles, and layout of a given site and then offers a refreshed, responsive, and modern version tailored to current UI/UX standards. With ReframeAI, users can input any website URL and receive a real-time, side-by-side preview comparing the original site with its transformed version. Users can choose from multiple modern design themes, test responsiveness across devices, and even export or share the results. Built with Next.js 15, Tailwind CSS 4, and Framer Motion for seamless frontend interactions, ReframeAI also uses Prisma and MongoDB for efficient data handling. It’s a powerful tool for developers, designers, marketers, or agencies looking to bring outdated websites into the modern era — all in a few clicks. This project was built using Trae AI IDE, harnessing its powerful multi-agent system and contextual code understanding to automate portions of the development workflow like code cleanup, component generation, and test scaffolding. We also use Novita.ai for LLM-based transformation suggestions and Zilliz for vector-based semantic search to compare design patterns and best practices.

Clausely

Clausely

Clausely is an AI-powered legal compliance assistant built for tech product teams, startup founders, and developers. It enables teams to proactively assess and improve their compliance with regional data protection laws like GDPR, HIPAA, CCPA, and the AI Act — without needing in-house legal experts. The platform lets users begin with a simple "Get Started" flow, skipping complex logins. Users then: Select target regions and jurisdictions (EU, USA, India, etc.) Upload technical documents (TDD, SRS, API docs, architecture plans) Choose an AI model or connect their preferred API Access an interactive agent console where they can ask legal questions about their code or architecture Receive clause-level insights, risks, and patch recommendations Export compliance summaries or benchmark their setup via the dashboard Under the hood, Clausely uses: 🧠 Novita AI for intelligent responses 🧱 Supabase for storing documents and metadata 🧭 Zilliz/Milvus to index and retrieve legal embeddings from user-uploaded files 🧾 RAG-based (Retrieval Augmented Generation) flow to ensure context-aware outputs All uploaded files are vectorized and used to power responses via an LLM-based legal copilot. The interface includes mock dashboards, project management, and dataset explorers — making Clausely not just a chat assistant, but a full developer-facing legal automation suite.