D'Cade Teams
RAG Q&A Chat
Ask questions in plain language. Get answers drawn from your team's documents, with source citations and confidence scores.
Try RAG ChatWhat is RAG?
Retrieval-Augmented Generation (RAG) combines search with AI. Instead of generating answers from general knowledge, RAG retrieves the most relevant passages from your documents and uses them to generate precise, grounded answers. Every response links back to its source.
You ask a question
"What was our Q3 pricing decision?" or "How do we handle refund requests?" — just type naturally.
RAG retrieves relevant passages
The system searches across all your knowledge bases, finds the most semantically relevant document chunks, and ranks them by relevance.
AI generates a grounded answer
The answer is synthesized from your actual documents — not hallucinated. Each claim is linked to its source document with a confidence score.
Source Citations
Every answer shows which document it came from. Click to see the original passage. Trust, but verify.
Confidence Scores
Each answer includes a confidence percentage so you know how well-supported it is by your documents.
Cross-KB Search
Ask across all knowledge bases at once, or scope your query to a specific KB. Your choice.
Grounded Answers
Answers are grounded in your uploaded documents. If the answer isn't in your docs, the system tells you instead of making something up.