MaxKB's Centralized Enterprise Knowledge Base Management Solution
MaxKB provides a three-step solution to address the pain point of dispersed information in enterprise knowledge bases:
- multi-source knowledge integration
Support Word/PDF/PPT and other 20+ formats through document upload function, automatic crawling function can crawl internal Wiki/Confluence and other platform content, unified storage to vector database. - Intelligent Knowledge Processing
The system performs this automatically:- Text splitting (semantic chunking)
- Vectorization (Embedding transformation)
- RAG Index Construction
Enables unstructured data to be turned into retrievable units of knowledge.
- Efficient query mechanism
Combining the BM25 algorithm and vector similarity search to realize:- Millisecond semantic retrieval
- Keyword + semantic two-way recall
- Multi-dimensional relevance ranking
The implementation can improve the retrieval accuracy of more than 85% and reduce the manual query time of 60%. It is recommended to match the workflow engine to set up regular automatic synchronization tasks to keep the knowledge base updated in real time.
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 solve the problem of dispersed information and low query efficiency of internal knowledge base of enterprises?
