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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.
The purpose is to be a cross-platform, quick and simple database manager,
main goal is to provide developers with a tool
to produce small to medium size databases efficiently.
If you need a database at its simplest form, without any
extra hassle of knowing how to access the produced library.
Then JDFeditor is the right tool for you.
JDFeditor is bundled with an easy-to-use Python library: jdf_lib.
jdf_lib will quickly load the content of your database into a variable.
All you need...
...Currently, Weibull (2p), Gompertz and Gompertz-Makeham are supported.
IMPORTANT NOTICE:
Only the GUI is provided here. In order to perform the analysis, one also need the DEDA computation core program. Please email a request to me, entitled: 'Request for DEDA computation core', if you wish to have a copy.