Qdrant AI technology page Top Builders

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

Qdrant

Qdrant is a high-performance search engine and database designed specifically for vector similarity. Written in Rust, Qdrant offers fast and reliable performance even under high load, making it an ideal choice for applications that demand speed and scalability. With Qdrant, you can turn your embeddings or neural network encoders into powerful, full-fledged applications for a wide range of use cases. Whether you need to match, search, recommend, or perform other complex operations on large datasets, Qdrant provides a convenient and user-friendly API that simplifies the process. Qdrant's extended filtering support also makes it well-suited for a variety of applications, including faceted search and semantic-based matching. Plus, with its managed solution available on the Qdrant Cloud, you can easily deploy and manage your applications with minimal setup and maintenance.

General
Relese date	October 29, 2021
Author	Qdrant
Type	Search engine, database

Tutorials

Great tutorials on how to build with Qdrant

👉 Discover more Qdrant Tutorials on lablab.ai

Qdrant - General sources

Learn even more about Qdrant!

Qdrant Cloud Qdrant Cloud is a managed solution for Qdrant. It provides a production-ready service for storing, managing, and searching vectors
Qdrant Repository Qdrant is an open-source search engine and database designed for vector similarity
Qdrant Documentation Qdrant Documentation
Qdrant Demo Qdrant Demo Project. This project contains a set of examples of using Qdrant

Qdrant x Cohere resources

Use Qdrant and Cohere to make powerful applications!

Basic example of the Qdrant and Cohere integration This example shows how to use Qdrant and Cohere to start with this stack
Q&A application How to build a Q&A application with Qdrant and Cohere

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Qdrant AI technology page Hackathon projects

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

Birla Brainiacs School Bot

Birla Brainiacs School Bot is an innovative AI solution that addresses the growing need for efficient communication and support in educational institutions. The project leverages the power of artificial intelligence to create a comprehensive virtual assistant that serves multiple stakeholders in the school ecosystem. Problem Statement: 1.Schools face challenges in managing high volumes of queries from students, parents, and teachers 2.Limited accessibility to information outside school hours 3.Need for personalized academic support and guidance 4.Administrative burden on school staff Solution: Our SchoolBot provides: 1. 24/7 instant responses to common queries about school policies, schedules, and events 2. Personalized academic assistance and homework help 3. Administrative task automation (attendance tracking, schedule queries) 4. Multi-stakeholder support system (students, teachers, parents) Target Audience: 1.Students seeking academic support and school information 2.Teachers requiring administrative assistance 3.Parents looking for updates on their child's progress and school activities 4.School administrators managing day-to-day operations Unique Features: 1.Multi-language support for diverse user base 2.Personalized learning assistance 3.Integration with school management systems 4.Real-time query resolution 5.User-friendly interface for all age groups The project demonstrates practical application of AI in education, focusing on improving communication efficiency and providing accessible support for the entire school community. It represents a significant step forward in modernizing school operations and enhancing the educational experience for all stakeholders.

Clinical RAG System

advanced medical assistant application that utilizes Retrieval-Augmented Generation (RAG) with the Falcon Large Language Model (LLM) to provide accurate and context-aware medical information. Features Audio Interaction Endpoint Speech-to-Text (S2T) conversion LLM processing using Falcon Text-to-Speech (T2S) conversion for audible responses Text-based Interaction Endpoint Direct text input LLM processing using Falcon Text output Retrieval-Augmented Generation (RAG) Enhances responses with relevant medical knowledge Improves accuracy and context-awareness of the AI uses a Retrieval-Augmented Generation (RAG) architecture: User input (text or transcribed audio) is processed. Relevant medical information is retrieved from the Qdrant vector database. The Falcon LLM generates a response based on the user query and retrieved information. The response is returned as text or converted to speech.

Quick News AI

Quick News AI is a state-of-the-art web application designed to revolutionize the way users consume news. By leveraging advanced natural language processing (NLP) powered by Falcon LLM, the app generates concise and accurate summaries of lengthy news articles from various RSS feeds. Users can customize their news feed by selecting topics, sources, and keywords of interest, ensuring they receive the most relevant content. With real-time updates, multi-platform support, and a user-friendly interface. Quick News AI offers a seamless and efficient news consumption experience. This application stands out in the market due to its accurate summaries, personalization capabilities, and low competition, making it an essential tool for busy professionals, students, and general news readers alike.

ClearOUT

ClearOUT is a Recycling/Reuse AI Assistant. It helps people be more sustainable by reusing, donating, or recycling their items. Users can express interest in specific items or upload pictures of things they no longer want. The AI then matches these items with people who need them but cannot afford to buy them, or finds suitable recycling options. It can also function as a marketplace, allowing people to express their needs and find suitable items from a list of posted items.

Linkivize

n today's professional landscape, building a strong personal brand on LinkedIn is harder than ever. What's more, creating consistent, high-quality content that resonates with your target audience is a daunting task. That's where Linkivize comes in – a solution designed by experienced entrepreneurs and professionals who deeply understand the challenges of personal branding. Linkivize was born out of understanding the pains behind building a personal brand and technologies like Langchain and Langflow. With Linkivize, users can streamline their content creation workflow and focus on making meaningful connections to achieve their career goals. The platform's in-depth onboarding process tailors the content creation to your specific needs and goals, taking into account (among others) industry, target audience, and desired brand image. In the end, you receive a customized content strategy that evolves alongside your growing LinkedIn presence. The platform seamlessly integrates with popular tools like Notion, Google Drive, YouTube, Apple Podcasts and RSS feeds, to provide you with fresh ideas and relevant content. But Linkivize goes beyond just content creation. The platform leverages data-driven insights to analyze post performance and audience engagement, helping users refine their strategy and consistently deliver content that resonates with their audience and prospects. On top of that, Linkivize's library of post inspirations and hooks has been carefully curated by our team of LinkedIn experts, who have years of experience in driving engagement and building strong personal brands. Summary: Linkivize is the ultimate solution for professionals looking to grow their LinkedIn presence and grow their personal brand with ease. Linkivize is helping professionals across industries achieve their career goals and stand out in a crowded digital landscape. Linkivize empowers users to maintain a consistent posting schedule without sacrificing quality or authenticity.

ScholarIntel-Intel Decision Making for Scholar

ScholarIntel | Intelligence Decisions Making for Scholars. ScholarIntel is the cutting-edge technologies with solutions of Intelligence Decisions Making Platform for Researchers and Scholars to Empowering Advance and Automate Research Capabilities. ScholarIntel is an empowering research and scholars application, providing intelligence informed decision making for research and academic writing. Leveraging advanced technologies, ScholarIntel enables data-driven decisions, impactful campaigns, and a competitive edge in the ever-evolving researcher and scholars landscape. • Efficient Discovery & Analysis: Quickly find and analyze groundbreaking research papers from PubMed and ArXiv. • Engaging Tools: Interact with research through innovative chat interfaces and audiobooks. • Writing Support: Enhance writing with paraphrasing, citations, and plagiarism detection. • Visualize Research: Simplify complex information with mind maps and paper embedding explorers. • Collaborative Platform: Connect with mentors, peers, and AI tools for validation and refinement.