Create ready-to-run cloud templates for AI pipelines and enterprise search with this tool.
Automations like: when a new document is uploaded to Sharepoint, index it in your enterprise search and alert relevant teams via a chatbot.
This tool helps by providing pre-built templates for AI pipelines, saving you time and effort in setting up and deploying your machine learning solutions, and ensuring your data is always in sync across different platforms.
"A founder of a startup needs to quickly set up an enterprise search for their team, so they use this tool to create a ready-to-run cloud template, connect it to their Sharepoint and Google Drive accounts, and then customize the search functionality to meet their specific needs, resulting in a fully functional search system in a short amount of time."
A beginner should pick this up when they need to deploy their first AI pipeline and want a simple, guided process.
A senior engineer would reach for this when they need to quickly spin up a new AI pipeline for a proof-of-concept or a small project and don't want to spend time setting up the infrastructure from scratch.
One common confusion about this tool is that it is not a full-fledged AI model, but rather a template and pipeline tool that helps you deploy and manage your own AI models and data.
Llm-app provides ready-to-deploy cloud templates for building real-time AI search and data integration across business systems, automating information workflows.
git clone https://github.com/pathwaycom/llm-app.gitdocker run -p 8000:8000 -v $(pwd)/config:/app/config pathwaycom/llm-app --sync-sharepoint --sync-postgres
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