Progress Agentic RAG
Trusted AI answers with citations, deployed in days
77 followers
Trusted AI answers with citations, deployed in days
77 followers
Progress Agentic RAG is an enterprise‑grade RAG‑as‑a‑Service platform that transforms documents, videos, and data into trusted, verifiable AI answers. It combines retrieval, reasoning, and orchestration with source‑level citations, built‑in quality metrics, and LLM flexibility. Deploy AI‑powered search, assistants, and workflows in days without complex pipelines or vendor lock‑in.
'Deployed in days' is the bold claim. What happens when source docs are contradictory - does the reasoning layer pick a winner or surface the conflict? That's where RAG either earns trust or loses it fast.
@mykola_kondratiuk When source documents conflict, our agentic reasoning layer does not silently “pick a winner.” Instead, it’s designed to detect contradictions, surface them explicitly, and show info origin so users can judge for themselves. Answers are grounded with citations back to each source, and when confidence is low or sources disagree, the system flags that ambiguity rather than hallucinating certainty .
surfacing the conflict rather than resolving it silently is the right call. most systems paper over this and produce confident wrong answers. showing the ambiguity is where the real trust comes from.