Showing 5 open source projects for "python augmented reality"

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    Raglite

    Raglite

    RAGLite is a Python toolkit for Retrieval-Augmented Generation

    Raglite is a lightweight framework for building Retrieval-Augmented Generation (RAG) pipelines with minimal configuration. It connects large language models to vector databases for context-aware responses, enabling developers to prototype and deploy RAG systems quickly. Raglite focuses on simplicity and modularity for fast experimentation.
    Downloads: 0 This Week
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    RAG Anything

    RAG Anything

    RAG-Anything: All-in-One RAG Framework

    RAG-Anything is an open-source unified framework that extends the Retrieval-Augmented Generation (RAG) paradigm to fully multimodal document and knowledge retrieval, enabling systems to ingest, parse, represent, and query rich content that includes text, images, tables, formulas, and other structured or visual elements. Traditional RAG systems are typically limited to text and cannot effectively work across heterogeneous document layouts, but RAG-Anything addresses this by modeling...
    Downloads: 4 This Week
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  • 3
    OpenAI Agents JS

    OpenAI Agents JS

    A lightweight, powerful framework for multi-agent workflows

    ...The repo includes examples showing how to build agents that call local functions, chain between agents, validate input/output, stream responses, and interact in real time (e.g. voice agents via WebRTC). It also has tracing and debugging support so you can introspect how agents executed their workflows. Because it aligns closely with the Python Agents SDK, it aims for cross-language parity so that JS/TS devs can adopt similar agent architectures.
    Downloads: 1 This Week
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  • 4
    Sceneform Maintained SDK for Android

    Sceneform Maintained SDK for Android

    Sceneform Maintained is an ARCore Android SDK with Google Filament

    Sceneform Maintained is an ARCore Android SDK with Google Filament as 3D engine. This is the continuation of the Archived Sceneform. Android Augmented Reality library: AR Model Viewer, Augmented Images, Augmented Faces, Video, Depth, Cloud Anchors, Instant Placement, Light Estimation and much more in Kotlin and Java.
    Downloads: 0 This Week
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  • 5
    Libraries for rapid development of Augmented Environment / Reality systems. Cross-platform, though hardware interfacing is currently provided mainly for Windows. Provides encapsulated video capture, image processing, multi-threading and OpenGL renderer.
    Downloads: 0 This Week
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