MaxKB's RAG Technology Landing Program
For the large model illusion problem, MaxKB uses the Retrieval Augmented Generation (RAG) technology framework:
- Knowledge boundary limits
Pre-construction through knowledge base:- Setting up a search for documents in your area of specialization
- Automatically generated FAQ question and answer pairs
- Establishment of a white list of trusted reference sources
- Double checking mechanism
System workflow:- Prioritize access to existing knowledge bases
- Trigger large model generation on miss
- Fact-checking of generated content
- Feedback Optimization Closed Loop
Administrator available:- Marking wrong answers
- Add the correct reference
- Retraining the retrieval model
In practice, organizations can use customer service logs as an iterative data source, and it is recommended to perform model fine-tuning once a month. The technical team can further improve controllability by accessing models with strong interpretability such as Llama 3.
This answer comes from the articleMaxKB: Out-of-the-box AI Knowledge Base Q&A System for Smart Customer Service and In-house Knowledge BaseThe
May not be reproduced without permission:AI productivity tools " How to Improve Q&A Accuracy and Reduce Illusions in Intelligent Customer Service Systems?
