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LlamaIndex AI technology page Top Builders

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

LlamaIndex: a Data Framework for LLM Applications

LlamaIndex is an open source data framework that allows you to connect custom data sources to large language models (LLMs) like GPT-4, Claude, Cohere LLMs or AI21 Studio. It provides tools for ingesting, indexing, and querying data to build powerful AI applications augmented by your own knowledge.

General
AuthorLlamaIndex
Repositoryhttps://github.com/jerryjliu/llama_index
TypeData framework for LLM applications

Key Features of LlamaIndex

  • Data Ingestion: Easily connect to existing data sources like APIs, documents, databases, etc. and ingest data in various formats.
  • Data Indexing: Store and structure ingested data for optimized retrieval and usage with LLMs. Integrate with vector stores and databases.
  • Query Interface: LlamaIndex provides a simple prompt-based interface to query your indexed data. Ask a question in natural language and get an LLM-powered response augmented with your data.
  • Flexible & Customizable: LlamaIndex is designed to be highly flexible. You can customize data connectors, indices, retrieval, and other components to fit your use case.

How to Get Started with LlamaIndex

LlamaIndex is open source and available on GitHub. Visit the repo to install the Python package, access documentation, guides, examples, and join the community:

AI Tutorials

LlamaIndex Libraries

A curated list of libraries and technologies to help you build great projects with LlamaIndex.

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LlamaIndex AI technology page Hackathon projects

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

Mail-Dolphin

Mail-Dolphin

Mail-Dolphin is a revolutionary email management service designed to empower individuals and organizations to achieve new levels of efficiency and productivity. We understand the challenges associated with traditional email platforms – overflowing inboxes, time-consuming organization, and difficulty managing critical communication. Mail-Dolphin tackles these issues head-on, offering a comprehensive suite of features to streamline your email workflow. Integration: Mail Dolphin integrates seamlessly with your existing email providers. This means no need to switch platforms or learn a new system – just activate Mail Dolphin and watch it work its magic within your familiar email environment. Automated Responses: Save time by eliminating the need to respond to repetitive emails individually. Craft custom autoresponders to manage common inquiries or provide immediate out-of-office notifications. Mail Dolphin analyzes the content of each incoming email and tailors your response accordingly. No more generic, one-size-fits-all replies! Customization: Mail-Dolphin's automation engine is fully customizable, allowing you to tailor it to your specific needs and preferences. Fine-tune Mail Dolphin's replies to match your communication style. Want a formal tone for business emails and a friendly one for personal messages? Mail Dolphin gives you complete control. Smart Filtering and Organization: Mail Dolphin analyzes incoming emails based on sender and intent. You choose which emails to receive automated responses for, ensuring important messages requiring your personal touch are always flagged for your review.

FASTrack

FASTrack

• Companies spend an average of $3,864 per hire (Johnson Service Group, 2019). • 75% of hiring professionals lose top talent due to lengthy hiring processes (ManpowerGroup, 2024). ATS tools are widely used to speed up hiring processes. BUT: • 88% of employers find that ATS often miss top talent (Harvard Business Review, 2021). • 37% of employers are dissatisfied with the effectiveness of ATS (TrustRadius, 2021). FASTrack streamlines recruitment using LLMs, helping recruiters and managers quickly pinpoint ideal candidates for specific roles, completely removing the need for manual filtering. Using self-improving AI agents to simulate an HR recruiter, this tool quickly searches extensive résumé databases, intelligently ranking and shortlisting the best candidates for each position. Here's how FASTrack works: 1) Recruiter enters a specific job description – can be detailed or a single sentence. 2) LLM identifies relevant entities and keywords according to the context. 3) AI agent starts searching for additional relevant information related to the extracted entities and keywords. 4) If the AI agent can't find more information in the LLM's knowledge base, especially about new technologies, it looks for details online. 5) AI agent refines search iteratively, gathering relevant information and adjusting search parameters based on information availability. 6) RAG approach is used to conduct multiple searches with all parameters across a vector database of résumés. 7) AI agent stops when sufficient information is gathered or after a set number of iterations. 8) Results are re-ranked against the original job description to improve accuracy. 9) Recruiter finds 10-30 ideal candidates from thousands of applicants in less than a minute. 10) Recruiter can schedule interviews with shortlisted candidates, individually or in groups, using integrated e-mail and calendar tools. This efficient, conversational experience cuts costs by over 90% and reduces recruitment time to days.

Zang Beto

Zang Beto

Zhang Beto: Revolutionizing Communication and Tourism in Benin Zhang Beto is the first-ever native application supporting speech-to-text and text-to-speech functionalities exclusively in Fan, Zhang Beto is set to transform how locals and tourists interact and explore the rich cultural heritage of Benin. Fan Language Speech-to-Text: Effortlessly convert spoken Fan into written text. Whether you're a local needing to transcribe conversations or a tourist trying to jot down phrases, Zhang Beto ensures accuracy and ease of use. Fan Language Text-to-Speech: Type in Fan and let the app speak for you. Perfect for learning pronunciation, practicing conversations, or communicating with locals when you don't feel confident speaking the language yourself. Tourism Enhancement: Discover Benin's hidden gems with AI-driven recommendations. Zhang Beto utilizes advanced algorithms to suggest tourist spots, cultural landmarks, and activities tailored to your interests, making your visit to Benin memorable and enriching. Cultural Insights: Learn about Benin's traditions, history, and customs through the app's curated content. Zhang Beto is not just a communication tool but also an educational resource, helping users gain a deeper understanding of the Fan-speaking community. User-Friendly Interface: Designed with simplicity and functionality in mind, Zhang Beto offers an intuitive user experience that caters to both tech-savvy individuals and those less familiar with digital applications. Boosting Tourism: With tourism contributing only 0.7% to Benin's economy, Zhang Beto aims to invigorate this sector by making it easier for tourists to navigate and appreciate the country's attractions through the Fan language. Cultural Preservation: Zhang Beto plays a crucial role in documenting and preserving the Fan language, ensuring that it remains a vibrant part of Benin's cultural landscape for future generations. Zhang Beto - Connecting People, Discovering Benin.

Biology Buddy

Biology Buddy

Introducing our innovative Biology Tutor App, enhanced with cutting-edge AI technology . This app can be used by students to learn Biology in their language. Designed to revolutionize the learning experience, our app offers personalized tutoring sessions tailored to each user's unique learning style and pace. students can ask questions, receive detailed explanations, and engage in interactive discussions on various biological concepts, from cellular biology to ecology. Whether you're a high school student preparing for exams or a university student diving deep into complex biological theories, our Biology Tutor App is your comprehensive learning companion. Experience the future of biology education with us today.

Cricket Video Analyzer - 12 labs RAG

Cricket Video Analyzer - 12 labs RAG

Cricket VIDEO ANALYZER to understand a batsman using 12 labs API +llama index + GPT 4 Solution: Choose 1 batsman (Glenn Maxwell of Australia) (Source 1) : Use 12 labs API to understand their playing style - Understand the video Generate the text (Source 2 for additional augmentation) : Use cricinfo.com APIs to get ball by ball commentary of the batsman Build a vector store of the dataset built using (2) and (3) Use GPT-4 to answer questions on this dataset (RAG application) Global Popularity and Demand: The immense popularity of cricket has led to a high demand for video analysis tools. Coaches, players, and teams use these tools to analyze player performance, match strategies, and opponent weaknesses. The ability to break down every aspect of a game, from batting techniques to bowling actions, has become crucial for success. As cricket leagues (such as the Indian Premier League) and international tournaments continue to grow, the demand for sophisticated video analysis software has skyrocketed. Advanced Technology and Data Insights: Cricket video analysis tools have evolved significantly over the years. High-speed cameras, ball-tracking systems, and AI algorithms allow for precise analysis of player movements, ball trajectories, and field placements. Coaches can identify patterns, assess player fitness, and make data-driven decisions. For example, analyzing a batsman’s scoring zones or a bowler’s release point can provide valuable insights.

RAGfier

RAGfier

Introducing RAGfier: An AI-powered communication tool that seamlessly translates sign language gestures into spoken language and vice versa, empowering sign language users to communicate effortlessly across various platforms. With text-to-sign language translation and real-time feedback, RAGfier revolutionises inclusivity, fostering accessible communication in healthcare, education, and daily interactions. RAGfier is an AI-powered communication tool that utilizes real-time sign language translation to bridge the gap between sign language users and the hearing world. - Real-time sign language translation: RAGfier converts sign language gestures into spoken language and vice versa, facilitating seamless communication between sign language users and hearing individuals. - Text-to-sign language translation: RAGfier can translate written text into sign language, making it easier for sign language users to access information and engage with digital content. - Sign language recognition and feedback: RAGfier provides feedback to sign language users, helping them improve their signing accuracy and fluency.