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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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    minirepo (abreviated to mr) is designed to handle small to middle sized repositories with rcs. It supports version bumping and snapshoting, which is simmilar to a git or fossil commit hash It keeps track of files checked into the repo via a MANIFEST file The main configuration is located inside the MR/ directory for each subdirectory initialized. Its priamry purpose is to track files with rcs related commands. This is to make it easier to deal with a lot of files...
    Downloads: 0 This Week
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