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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

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    LlamaIndex Libraries

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


    LlamaIndex AI technology page Hackathon projects

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

    Longevity Copilot

    Longevity Copilot

    Longevity-Copilot is an advanced RAG (Retrieval-Augmented Generation) chatbot designed to democratize access to the latest longevity research and practical applications. By providing real-time, personalized responses, this chatbot helps users integrate longevity-enhancing practices into their daily lives. Whether you're looking to understand complex scientific research or seeking practical advice on lifestyle adjustments, Longevity-Copilot offers tailored recommendations based on individual age, dietary habits, health conditions, and exercise routines. This tool makes longevity science accessible and actionable for everyone, ensuring that users can make informed decisions about their health and well-being. Features - **Tailored Recommendations:** Get personalized health and lifestyle advice that considers your unique circumstances such as age, diet, health issues, and physical activity levels. - **Cutting-Edge Research:** Stay updated with the latest findings in longevity science. Longevity-Copilot integrates contemporary research directly into your interaction with the AI. - **User-Friendly AI:** Engage in natural, easy-to-understand conversations with our AI, making complex longevity research relatable and easy to comprehend. - **Real-Time Answers:** Have a question about longevity? Our chatbot provides real-time responses to help you apply longevity science in your daily life effectively. Longevity-Copilot is aimed for receiving information, and by no mean is it a replacement for a professional healthcare provider. It is a tool that can be used by anyone, anywhere, and at any time.

    SecureSpeak

    SecureSpeak

    SecureSpeak Enterprise emerges as a cutting-edge solution in the realm of secure digital communication, catering to the pressing need for privacy and data integrity in business interactions. At its foundation lies a sophisticated self-deployed language model, designed to scrutinize user inputs instantaneously, censoring any sensitive information with a blend of pre-configured rules and insights gleaned from historical data. This ensures that every piece of information is treated with the utmost confidentiality right from the start. SecureSpeak employs an innovative dual-storage system. This system archives both the original and the censored versions of inputs within SQL and vector databases, facilitating not only robust data management but also seamless retrieval and analysis. This strategic approach to data storage preserves the context and meaning of information, all while upholding stringent confidentiality standards. Central to SecureSpeak’s functionality is its use of Retrieval-Augmented Generation (RAG), powered by Vectara. This mechanism enriches the platform's responses with semantically related content from an extensive corporate database, alongside the capability to perform on-demand, context-specific queries. This not only enhances the relevance and accuracy of the responses but also ensures they remain within the bounds of privacy regulations. The SecureSpeak journey extends beyond immediate data processing to include the active refinement and application of collected insights. This process serves to enhance the overall user experience significantly, turning raw data into a strategic asset. Additionally, the system's language model is subject to ongoing fine-tuning, learning continuously from processed data to elevate its performance in censoring and generating responses. Through these meticulously designed features and processes, SecureSpeak Enterprise sets a new standard in secure, intelligent, and privacy-conscious digital communication.