Showing 3 open source projects for "unstructured data"

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  • The AI coach for teams, built on validated assessments. Icon
    The AI coach for teams, built on validated assessments.

    Cloverleaf is an assessment-backed AI Coach that fully understands your people and the context of their workday.

    Give managers and teams proactive, contextual coaching to lead effectively, communicate clearly, and navigate real work situations as they happen.
    Learn More
  • The CI/CD Platform built for Mobile DevOps Icon
    The CI/CD Platform built for Mobile DevOps

    For mobile app developers interested in a powerful CI/CD platform for mobile app development and mobile DevOps

    Save time, money, and developer frustration with fast, flexible, and scalable mobile CI/CD that just works. Whether you swear by native or would rather go cross-platform, we have you covered. From Swift to Objective-C, Java to Kotlin, as well as Xamarin, Cordova, Ionic, React Native, and Flutter: Whatever you choose, we will automatically configure your initial workflows and have you building in minutes.
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  • 1
    Quivr

    Quivr

    Your Second Brain supercharged by Generative AI

    Quivr, your second brain, utilizes the power of GenerativeAI to store and retrieve unstructured information. Think of it as Obsidian, but turbocharged with AI capabilities.
    Downloads: 3 This Week
    Last Update:
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  • 2
    Eidos

    Eidos

    An extensible framework for Personal Data Management

    Eidos is an extensible personal data management platform designed to help users organize and interact with their information using a local-first architecture. The system transforms SQLite into a flexible personal database that can store structured and unstructured information such as notes, documents, datasets, and knowledge resources. Its interface is inspired by tools like Notion, allowing users to create documents, databases, and custom views to organize personal information. ...
    Downloads: 8 This Week
    Last Update:
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  • 3
    POML

    POML

    Prompt Orchestration Markup Language

    POML, or Prompt Orchestration Markup Language, is a structured markup language created to improve the organization and maintainability of prompts used in large language model applications. Traditional prompt engineering often relies on unstructured text, which can become difficult to manage as prompts grow more complex and incorporate dynamic data sources. POML addresses this issue by introducing an HTML-like syntax that allows developers to organize prompts into structured components such as roles, tasks, and examples. This structure enables prompts to be reused, modified, and versioned more easily within complex AI applications. ...
    Downloads: 0 This Week
    Last Update:
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