Weaviate AI technology page Top Builders

Explore the top contributors showcasing the highest number of Weaviate AI technology page app submissions within our community.

Weaviate

Weaviate is an open-source vector database that enables you to store data objects and vector embeddings from your preferred ML models. Moreover, it offers smooth scalability for handling billions of data objects.

General
AuthorWeaviate
Repositoryhttps://github.com/weaviate
TypeVector Database

Weaviate - Helpful Resources

Explore Weaviate resources to better understand and utilize Weaviate, the AI native vector database, effectively in your projects.

  • Weaviate Documentation Comprehensive documentation for Weaviate
  • Weaviate Quickstart In this quickstart guide, you'll discover how to build a vector database using Weaviate Cloud Services (WCS), import data, and conduct vector search.
  • WCS - Weaviate SaaS Connect to the Weaviate Cloud Services or to a local Weaviate (Keep in mind that Weaviate can also be utilized locally with Docker).

Delve into Weaviate's similarity search to quickly and accurately identify closely related data within your vector database.


GraphQL API



Weaviate AI technology page Hackathon projects

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

REACH

REACH

REACH: Unlock Your Market's Pulse. Instantly understand your target audience by uploading your startup's materials like website link(s) and/or pitch deck. REACH analyzes real-time trends on Instagram, Twitter, and Reddit, delivering tailored insights on customer needs, competitor activity, and emerging opportunities. Get AI-powered marketing strategies and chat with a RAG-based AI agent to dive deeper into your data and the wider market. REACH empowers you to build products your customers crave, identify new opportunities, launch campaigns that resonate and connect with your target audience like never before. REACH automates market research by leveraging AI to extract, analyze, and generate insights from social data. Founders upload their startup materials (website links, pitch decks), which are processed into structured descriptions and stored as vector embeddings in a Weaviate database. REACH dynamically generates platform-specific keywords to fetch real-time data from Instagram, Twitter, and Reddit APIs. This data, combined with the startup's profile, is analyzed using IBM Granite-3B, identifying trends, customer pain points, and competitor activity. The system then generates tailored insights and marketing strategies optimized for each platform. The AI agent enhances exploration with two core tools: a vector search for startup-specific knowledge and a real-time web search for broader market research. It intelligently selects the best source to generate data-driven responses, helping founders make informed strategic decisions.

SupplyGenius Pro

SupplyGenius Pro

Core Features 1. Document Processing & Analysis - Automated analysis of supply chain documents - Extraction of key information (parties, dates, terms) - Compliance status verification - Confidence scoring for extracted data 2. Demand Forecasting & Planning - AI-powered demand prediction - Time series analysis with confidence intervals - Seasonal pattern recognition - Multi-model ensemble forecasting (LSTM, Random Forest) 3.Inventory Optimization - Real-time inventory level monitoring - Dynamic reorder point calculation - Holding cost optimization - Stockout risk prevention 4. Risk Management - Supply chain disruption simulation - Real-time risk monitoring - Automated mitigation strategy generation - Risk score calculation 5. Supplier Management - Supplier performance tracking - Lead time optimization - Pricing analysis - Automated purchase order generation 6. Financial Analytics - ROI calculation - Cost optimization analysis - Financial impact assessment - Budget forecasting 7. Real-time Monitoring - Live metrics dashboard - WebSocket-based alerts - Performance monitoring - System health tracking 8. Security Features - JWT-based authentication - Role-based access control - Rate limiting - Secure API endpoints -- Technical Capabilities 1. AI Integration - IBM Granite 13B model integration - RAG (Retrieval Augmented Generation) - Custom AI toolchains - Machine learning pipelines 2. Data Processing - Real-time data processing - Time series analysis - Statistical modeling - Data visualization 3. Performance Optimization - Redis caching - Async operations - Rate limiting - Load balancing 4. Monitoring & Logging - Prometheus metrics - Detailed logging - Performance tracking - Error handling

Act4City - Il ponte fra cittadini e PA

Act4City - Il ponte fra cittadini e PA

Problem I cittadini spesso incontrano difficoltà nel reperire informazioni o interagire in modo efficiente con la pubblica amministrazione. Allo stesso tempo, i comuni faticano a raccogliere feedback utili dai cittadini, portando a risposte lente e opportunità mancate per migliorare i servizi pubblici. Solution Act4City introduce agenti AI per colmare questa lacuna. Per i cittadini, un assistente su WhatsApp risponde in tempo reale alle domande utilizzando i dati estratti dal sito web di Ravenna. Le conversazioni vengono archiviate per analisi, consentendo ai comuni di affrontare le problematiche ricorrenti. Per le amministrazioni pubbliche, un chatbot web permette ai comuni di monitorare tendenze, raccogliere feedback e promuovere il dialogo con i cittadini, trasformando le interazioni in spunti utili. Target Audience La soluzione è pensata per le amministrazioni locali che desiderano migliorare l’interazione con i cittadini e semplificare la comunicazione, così come per i cittadini alla ricerca di risposte rapide e precise alle loro domande. Unique Features/Benefits Automated AI Assistance: i cittadini ricevono risposte immediate via WhatsApp, migliorando accessibilità e soddisfazione.. Citizen Digital Twin: i comuni ottengono preziose informazioni sui bisogni e le preoccupazioni dei cittadini attraverso l'analisi delle tendenze. Enhanced Dialogue: la piattaforma favorisce una conversazione bidirezionale, migliorando l'erogazione dei servizi pubblici e la trasparenza. Scalable Model: applicabile a diversi comuni per standardizzare e modernizzare le interazioni pubbliche. Questi flussi evidenziano come gli agenti AI semplifichino le interazioni tra cittadini e comuni, promuovendo una comunicazione più intelligente ed efficiente.

GreenGo - AI Green Card Immigration Assistant

GreenGo - AI Green Card Immigration Assistant

GreenGo - AI chatbot for immigrants to find answers and navigate the U.S. Green Card immigration process. We aim to provide accessible and comprehensible information spread across Reddit, USCIS, Social Media, Latest News and Group Chats. Our goal is to make immigration information accessible and comprehensible. Built during the Llama Impact Hackathon, this tool aims to make immigration information more accessible and reduce stress for immigrants going through various immigration processes, within the scope of Green Card Application for this hackathon. In the future, we aim to continue building to expand the information beyond Green Card to all immigrants, international students, your everyday people aspiring to step foot into US to experience everything it has to offer. Category Navigating Public Services ​📌 Problem Statement: Government services can be complex & difficult to navigate, creating barriers for citizens. 🎯 Problem Statement Immigrants face significant challenges when: Navigating complex USCIS policies and procedures Understanding how to proceed with their applications Getting reliable information without access to legal counsel Self-filing applications without professional guidance Waiting for work authorization and other critical documents 💡 Solution GreenGo leverages AI to: Parse and understand USCIS policy manuals Provide accurate, source-backed answers to immigration questions Help users understand their options and next steps Make immigration information more accessible 🏗️ Architecture The application consists of three main components: Frontend: Next.js application providing the chat interface Backend: Flask API server handling chat interactions AI Engine: Weaviate vector database for storing USCIS policy data Llama 3.2 model for generating responses RAG (Retrieval Augmented Generation) for accurate information retrieval