Showing 2 open source projects for "linux is"

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  • Context for your AI agents Icon
    Context for your AI agents

    Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.

    Build data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
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  • Cloud data warehouse to power your data-driven innovation Icon
    Cloud data warehouse to power your data-driven innovation

    BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

    BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
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    Pyright

    Pyright

    Static type checker for Python

    Pyright is a fast type checker meant for large Python source bases. It can run in a “watch” mode and performs fast incremental updates when files are modified. Pyright supports configuration files that provide granular control over settings. Different “execution environments” can be associated with subdirectories within a source base. Each environment can specify different module search paths, python language versions, and platform targets. Type inference for function return values, instance...
    Downloads: 2 This Week
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  • 2
    Unleash

    Unleash

    Simplify your code production

    Ship code safely to production in frequent smaller releases to control new feature rollouts and reduce cost, time, and risk. Use feature flags to decouple deployment from release. Test and try out new features confidently. Gradual rollouts allow you to mitigate risks by enabling new features to 1% of users and then expanding. Validate how every new feature performs. Conduct A/B testing on real users to gain real insight into what delivers the best results. Release new features targeting a...
    Downloads: 0 This Week
    Last Update:
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