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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.
...It enables interoperability between Go and the SDL2 library which is written in C. That means the original SDL2 installation is required for this to work. Some older versions of the distributions such as Ubuntu 13.10 may also be used but it may miss an optional package such as libsdl2-ttf-dev on Ubuntu 13.10's case which is available in Ubuntu 14.04. Note that the first build may take several minutes on machines that are not powerful such as Raspberry Pi.