Showing 8 open source projects for "google search engine"

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  • 1
    Weaviate

    Weaviate

    Weaviate is a cloud-native, modular, real-time vector search engine

    Weaviate in a nutshell: Weaviate is a vector search engine and vector database. Weaviate uses machine learning to vectorize and store data, and to find answers to natural language queries. With Weaviate you can also bring your custom ML models to production scale. Weaviate in detail: Weaviate is a low-latency vector search engine with out-of-the-box support for different media types (text, images, etc.).
    Downloads: 4 This Week
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  • 2
    Vald

    Vald

    Vald. A Highly Scalable Distributed Vector Search Engine

    Vald is a highly scalable distributed fast approximate nearest neighbor dense vector search engine. Vald is designed and implemented based on the Cloud-Native architecture. It uses the fastest ANN Algorithm NGT to search for neighbors. Vald has automatic vector indexing and index backup, and horizontal scaling which is made for searching from billions of feature vector data. Vald is easy to use, feature-rich and highly customizable as you needed.
    Downloads: 1 This Week
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  • 3
    gse

    gse

    Go efficient multilingual NLP and text segmentation

    Go efficient multilingual NLP and text segmentation; support English, Chinese, Japanese and others. Gse is implements jieba by golang, and try add NLP support and more feature. Support common, search engine, full mode, precise mode and HMM mode multiple word segmentation modes. Support user and embed dictionary, Part-of-speech/POS tagging, analyze segment info, stop and trim words. Support multilingual: English, Chinese, Japanese and others. Support Traditional Chinese. Support HMM cut text use Viterbi algorithm. Support NLP by TensorFlow (in work). ...
    Downloads: 0 This Week
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  • 4
    PhotoPrism

    PhotoPrism

    AI-Powered Photos App for the Decentralized Web 🌈💎✨

    PhotoPrism® is an AI-Powered Photos App for the Decentralized Web. It makes use of the latest technologies to tag and find pictures automatically without getting in your way. You can run it at home, on a private server, or in the cloud. Our mission is to provide the most user- and privacy-friendly solution to keep your pictures organized and accessible. That's why PhotoPrism was built from the ground up to run wherever you need it, without compromising freedom, privacy, or functionality.
    Downloads: 12 This Week
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    CyberStrikeAI

    CyberStrikeAI

    CyberStrikeAI is an AI-native security testing platform built in Go

    ...Through comprehensive lifecycle management, results are tracked, aggregated, and visualized, with support for versioned persistence, search, and risk severity scoring.
    Downloads: 6 This Week
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  • 6
    Bifrost

    Bifrost

    The Fastest LLM Gateway with built in OTel observability

    ...It also includes observability with built-in metrics, tracing, logging, and supports governance features like rate limiting, access control, and cost budgeting. The architecture is modular: there is a core engine, plugin layers, and transport layers (HTTP APIs).
    Downloads: 3 This Week
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  • 7
    LLocalSearch

    LLocalSearch

    LLocalSearch is a completely locally running search aggregator

    LLocalSearch is an open-source search engine framework designed to run entirely on local infrastructure using large language model agents to gather and synthesize information from the web. The system allows users to submit natural language questions, after which a chain of LLM-driven agents recursively searches for relevant information and compiles a response. Unlike many AI search tools, LLocalSearch operates without requiring external cloud APIs or proprietary services, making it suitable for privacy-focused or offline environments. ...
    Downloads: 0 This Week
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  • 8
    alvd

    alvd

    alvd = A Lightweight Vald. A lightweight distributed vector search

    A lightweight distributed vector search engine based on Vald codebase. Vald is an awesome highly scalable distributed vector search engine works on Kubernetes. It has great features such as file-based backup, and metrics-based ordering of Agents. Also, Vald is highly configurable using YAML files. It works without Kubernetes, single binary (less than 30MB), easy to run (can be configured by command-line options), and consists of Agent and Server. alvd has almost the same features as Vald's gateway-lb + discoverer and agent-ngt. alvd depends on Vald codebase, the files came from Vald (such as internal, pkg/vald. ...
    Downloads: 0 This Week
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