Chroma AI technology page Top Builders

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

Chroma

Chroma is building the database that learns. It is an open-source AI-native embedding database. Chroma makes it easy to build LLM apps by making knowledge, facts, and skills pluggable for LLMs. The fastest way to build Python or JavaScript LLM apps with memory

General
Relese date	2023
Author	Chroma
Type	embedding database

Tutorials

Great tutorials on how to build with Chroma

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Chroma - Helpful Resources

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Chroma Chroma website
Chroma Docs Documentation of Chroma
Chroma Repo Open-source Chroma repository

Chroma - Clients

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Chroma Python Python Client for Chroma
Chroma JavaScript High-Performance Chroma Client for JavaScript

Chroma - integration

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Chroma AI technology page Hackathon projects

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

Geonetwork Infrastructure Planning and Procurement

gNIPP is an AI-powered network infrastructure analysis tool designed to provide insights into network tower distribution, coverage, and signal strength. The platform allows users to visualize network tower data on an interactive map while summarizing key statistics for better decision-making. It leverages AI capabilities to analyze current network infrastructure and create strategies to develop underserved regions. It utilizes RAG and Agentic AI capabilities to provide reliable data regarding definitions of different keywords and procurement policies. gNIPP processes network tower data and uses geographical information about schools to analyze the wireless network infrastructure available to these regions. - Curated Dataset for School geographical information and details regarding their network performance made available through Giga School Mapping Data - Using OpenCellID API to fetch Network Tower Data around a specific bounding box of latitude and longitude - Utilize Gemini API to analyze the network performance and availability - Provide Heatmap of underserved regions based on key network performance metrics allowing users to quickly identify key regions of interest - Use AI Agent to access wikipedia allowing users to get access to correct information regarding keywords and jargon - Use RAG to access gppd data and extract procurement information of various countries.

NetConnect

Public Sector Network Connectivity Analyzer The Public Sector Network Connectivity Analyzer is a comprehensive solution designed to address the critical need for reliable network monitoring across public institutions. Our application serves as an essential tool for IT administrators managing connectivity infrastructure for schools, healthcare facilities, government offices, libraries, and other public service organizations. Core Capabilities Real-Time Network Visualization Interactive diagrams and topology maps provide clear visibility into how public institutions are connected, displaying network elements, connection points, and infrastructure components with intuitive visualization tools. Performance Monitoring System Our platform continuously tracks vital network metrics including uptime percentages, latency measurements, bandwidth utilization, and connection status across the entire public sector network, enabling proactive management. Advanced Simulation Engine IT professionals can run comprehensive simulations to test network resilience under various scenarios such as increased user loads, infrastructure failures, or cyber incidents, helping identify vulnerabilities before they impact critical services. Institution Management Portal Administrators can efficiently manage information about connected institutions, monitor their connection status in real-time, and access detailed performance metrics through a unified dashboard interface. Geographic Mapping Integration Our system incorporates geographic visualization capabilities to display the physical distribution of institutions and network infrastructure across regions, facilitating better resource allocation and planning. Technical Implementation This solution addresses the unique challenges faced by public sector organizations that require reliable connectivity for delivering essential services to communities, while providing the tools needed to ensure network resilience, performance, and security.

SmartHireAI - An AI powered HR Management Suite

SmartHire.ai is a next-generation AI-powered HR management suite leveraging IBM Granite models to revolutionize recruitment. It automates and optimizes every stage of the hiring process, making talent acquisition faster, smarter, and more efficient for businesses. Key Features & Capabilities: ✅ Automated Resume Screening – Uses AI to filter, rank, and shortlist candidates based on job requirements, reducing manual effort. ✅ AI-Powered Interviews – Conducts intelligent chat and voice interviews with AI-generated, adaptive questions tailored to candidate profiles. ✅ Smart Scheduling – Seamlessly integrates with Google Calendar API to automate interview scheduling, eliminating coordination hassles. ✅ Automated Email Outreach – AI drafts and personalizes interview invites, rejections, and follow-up emails, enhancing recruiter efficiency. ✅ AI-Driven Job Posting – Automatically creates and optimizes job listings across platforms like LinkedIn and Naukri using API integrations. ✅ Candidate Query Handling (RAG) – Uses Retrieval-Augmented Generation (RAG) to answer candidate queries instantly, improving engagement. ✅ LeetCode-Based Skill Assessments – Conducts AI-powered coding and skill tests to ensure the best technical talent is identified. Business Impact: 🔹 40% cost reduction in HR processes. 🔹 50% faster hiring cycles with AI-driven automation. 🔹 85% increase in application completion rates, improving candidate experience. 🔹 80% reduction in manual email drafting, enhancing recruiter productivity. Future Roadmap: 🚀 AI-Driven Candidate Matching & Predictive Hiring – Intelligent recommendations based on skill, experience, and company needs. 🚀 Blockchain-Based Resume & Credential Verification – Secure and tamper-proof candidate background checks. 🚀 Adaptive AI Skill Testing – Dynamic assessments that evolve based on candidate performance. 🚀 AI-Powered Job Ad Optimization – Smart job postings that maximize visibility and attract top talent.

Echelon - Fully autonomous AI Agentic Email System

We built Echelon to tackle email overload by prioritizing, summarizing, and automating responses while keeping users in control. Using IBM Granite’s advanced reasoning, we generated context-aware replies and provided real-time voice feedback for draft approval. For information retrieval, we implemented RAG through ChromaDB, allowing our system to pull relevant past conversations and user-specific context for more accurate responses. Echelon automatically filtered spam, handled multiple emails at once, and sent smart alerts for high-priority messages. Hands-free interaction made email management effortless, while live reasoning updates ensured precision. With seamless IMAP/SMTP integration, we designed Echelon to cut email management time and improve productivity without sacrificing personalization.

EduNova

AI-Powered Interactive Roadmap Generation for Learning Our system transforms unstructured documents into structured, interactive learning roadmaps using Retrieval-Augmented Generation (RAG) and Chroma as a vector store. It helps learners navigate complex materials efficiently by consolidating key topics into logical, visually structured nodes. How It Works: Chunking & Metadata Extraction – Documents are split into chunks (~1000 tokens), each tagged with chunk_id, topic, keywords, and summary for efficient retrieval. Roadmap Generation – Instead of mapping chunks directly, the LLM organizes related content into structured learning nodes, ensuring a logical study flow. Each node is assigned a difficulty level to help learners prioritize topics effectively. Quiz-Based Reinforcement – AI-generated quizzes for each node encourage active learning. Questions reference chunk IDs to maintain accuracy and relevance. Interactive Q&A – Users can ask topic-specific questions, and the system retrieves relevant chunks to generate informed responses. If gaps exist, it suggests further reading. Web-Based Visualization – The structured roadmap is displayed in an interactive web interface, allowing users to explore topics, track progress, attempt quizzes, and engage with AI-powered insights. This system enhances comprehension, retention, and engagement by transforming static documents into an intuitive, adaptive, and interactive learning experience.

Project Hifazat AI Powered Legal Aid for Women

Imagine being Amna from a rural area in pakistan, facing a legal challenge but surrounded by barriers. The nearest legal aid center is 45 kilometers away, legal fees exceed her monthly income, and she fears social stigma. Her story echoes across Pakistan, where 85% of women face similar barriers in accessing legal support. The numbers tell a heartbreaking story - only 1 in 3 women experiencing abuse seeks legal help, 68% of rural cases go unreported, and with legal consultation costing PKR 10,000-15,000, justice remains out of reach for many. When you add that only 39% of women have internet access and the female literacy rate is 42.7%, the challenge becomes even more daunting. Project Hifazat steps in as a digital guardian, combining IBM's Granite AI technology with deep cultural understanding. At its heart lies the IBM Granite-3-8b-instruct model, carefully molded to understand not just legal language, but Pakistani society's nuances. Paired with the Granite-embedding:278m multilingual model, our system breaks down all barriers, offering support to pakistani females. Unlike typical legal AI systems, Project Hifazat acts as a culturally-aware legal companion. When Amna shared her property rights case, our system immediately provided legal information accordingly, offered confidential guidance, connected her with support services (locally), and gave step-by-step documentation guidance. The magic happens through our innovative use of IBM's Granite models. The 8B language model brings legal expertise with cultural sensitivity, while the multilingual embedding model ensures women can express concerns in their preferred language. This isn't just translation - it's about understanding context, emotion, and urgency. With this, we'll help rural women understand property rights, working women address harassment, and mothers navigate family law. Looking ahead, we'll work on court system integration, expanding language support, and enhancing mobile accessibility.