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
Author	Weaviate
Repository	https://github.com/weaviate
Type	Vector 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).

Weaviate Similarity search

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

Weaviate Similarity / Vector search Documentation Explore the documentation on executing similarity-based searches with Weaviate.
Similarity Search Recipes Discover various similarity search recipes tailored for platforms like Cohere, OpenAI, HuggingFace, PaLM, and more.

GraphQL API

Weaviate GraphQL Documentation

Weaviate Generative Search

Generative Search - OpenAI Documentation
Generative Search - Cohere Documentation
Generative Search - PaLM Documentation
Generative Search Recipes Discover various generative search recipes tailored for platforms like Cohere, OpenAI, and PaLM.

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Weaviate AI technology page Hackathon projects

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

BYTE-Pocket Nutritionist

BYTE is an innovative mobile app that acts as your pocket-sized nutritionist, empowering individuals to make informed dietary choices. Using cutting-edge AI models and Google Cloud technologies, BYTE helps users understand their food options and manage their health more effectively The app features a powerful image recognition tool that allows users to scan food labels and get detailed nutritional breakdowns in real-time. BYTE’s AI-powered chatbot provides personalized advice based on each user’s unique health profile, dietary restrictions, and preferences. With multilingual support, BYTE offers guidance in multiple languages, making it accessible to users worldwide. BYTE also fosters a vibrant community, enabling users to connect, share experiences, and support each other on their health journeys. The app ensures data privacy by securely storing personal information, allowing users to maintain control over their health data. Whether you're looking for healthier food alternatives, need advice on managing dietary restrictions, or want a simple platform to track your nutrition, BYTE provides a comprehensive, easy-to-use solution. By combining AI, cloud technology, and a user-centered design, BYTE empowers individuals to make healthier choices and live a more informed lifestyle.

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.

Fiscollama

Una soluzione pensata per supportare i cittadini nella gestione di tematiche fiscali complesse, come bonus, benefit, dichiarazioni dei redditi e aggiornamenti normativi. Pur non sostituendosi a un professionista, questa tecnologia facilita lo scambio di informazioni, fornisce aggiornamenti utili e orienta gli utenti nei processi legati al fisco. Basata su un sistema avanzato di Recupero di Informazioni (RAG), la soluzione utilizza tecniche di suddivisione dei testi (chunking) e rappresentazioni vettoriali, con recupero effettuato attraverso una ricerca ibrida che combina analisi semantica e sintattica. Il sistema sfrutta metadati come argomenti, anni e parole chiave estratte tramite modelli avanzati, garantendo una classificazione precisa e pertinente. I documenti recuperati vengono poi ordinati da un reranker e utilizzati per generare risposte contestuali ed efficaci mediante modelli linguistici avanzati.

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

VC Pitch Simulation and Dashboard

Angel Invesors, VCs, Startup Accelerators and Scouts Sift though large quantities of contexual data provided by startup seeking investment a very efficient process that can be optimized with GenAI. This solution is based on IBM's Prompt Lab structured input and output. The model is prompt with chuncks of texts from the provided pitch deck and instructed to extract specific data points based on given examples, the extracted data points are then integrated in the solution with the help of python to calculate the most important indicators for startup state such as Burn Rate, Customer Lifetime Value, Customer Acquisition Cost, Market Size. The model iterates across a given "startup profile" format to ensure completion of data and to prompte the user for any missing details before creating a dashboard showcasing the calculated variables with reference to the source extracted. In an advanced version, RAG implementation with Semantic Search could make this solution more powerful. This business productivity solution saves a lot of time and effort for a niche market that has to sift through raw startup data. Furthermore, the solution could be developed into providing the same "investor dashboard" generated to the startup that uploaded it, allowing an interactive pitch simulation session and utilizing a RAG of embedded "startup knowledge base" to exact the startup pitch.

Senu the startup copilot

The development in GenAI, NLP, Sentiments Analysis allows for disrupting the startup building journey, creating unprecedented opportunities for startup and the their supporting ecosystem to grow. Senu utilizes GenAI, NLP, Sentiment analysis to produce a Startup Pitch Simulator and a Startup Copilot, providing real-time assessment for startup pitches and producing a clear roadmap for startup to take their business to the next level, furthermore, this rich real-time data becomes the bloodline of new asset classes built around milestone-based commitments. The system also offers a convenient interface for startup program managers and investors to assess, support and monitor the performance of their portfolios