Vantage.ai
Build RAG/GraphRag agents on own content and prove they work
What it does
All-in-one llm rag and graphrag toolkit for poc's, incentives, demo's.
All-in-one llm rag and graphrag toolkit for poc's, incentives, demo's. - theunisjohn/vantage-ai
An enterprise platform for building agents that answer from your own content — and for proving they answer well. Vantage assembles four things into a working agent. Knowledge is your content, connected and indexed. AI Providers are the models that read and write. Agent Builder wires them together on a canvas. The Optimizer tells you whether the result is any good. They are built in that order, and each step is short once the one before it is done. Connect a system and register a data source, run a pipeline to index it, register a model, then assemble the agent and try it in the Playground. The one rule worth carrying into all of it: what an agent can retrieve is decided by the pipeline kind…from github.com
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