Insight
Grounded
Answer source. Responses tied to retrieved passages from approved corpora.
AI technology
Retrieval-Augmented Generation (RAG)
Radiantze grounds language-model answers in approved documents and knowledge bases, with citations operators can verify.
Answers anchored in enterprise knowledge
Radiantze builds RAG systems that retrieve relevant passages from governed sources, then compose answers with citations instead of relying on model memory alone.
Source ownership, freshness pipelines, access control, and low-confidence escalation stay part of the design so policy and product content stay trustworthy as they change.
Insight
Citations
Trust mechanism. Users verify claims against the original document, not model memory.
Insight
Freshness
Operational need. Indexing pipelines keep answers aligned as policies and products change.
Partnership
Radiantze RAG pattern
Radiantze connects ingestion, chunking, retrieval, and evaluation into one operable system with clear source ownership.
- Inventory approved sources and retention rules before indexing.
- Chunk and embed content with metadata for filtering and audit.
- Tune retrieval quality before tuning generation prompts.
- Add confidence thresholds and human escalation paths.
Radiantze applications
Policy & compliance
Internal policy assistants for HR, legal, and clinical operations, with citations to approved text.
Field & service teams
Product specs, troubleshooting guides, and warranty rules surfaced with source links.
Sales enablement
Competitive intel, pricing playbooks, and proposal language from CRM-attached documents.
Related use cases
See it applied
Internal knowledge base assistant
Retrieval assistants answer from indexed internal documents, with citations employees can check.
Grounded customer support assistant
Radiantze grounds support answers in product documentation so agents and customers get cited, accurate replies.
Contract & policy Q&A
Radiantze returns policy answers with exact clause citations so legal and compliance stay precise.