Performance Maintenance Program for Large-Scale Knowledge Bases
Background:When knowledge entries exceed 10,000, normal retrieval may become slower, Brainfork guarantees performance through multiple optimizations.
- Technology Program:
- Enable "Smart Segmentation" feature (turn it on in Settings→Performance) to automatically index by topic/time of segmentation
- Use of "search strategy selector": exact match (title search) / semantic search (RAG extension) / mixed mode
- Regularly run "Knowledge Organizer" (clean up duplicate/outdated content, manual confirmation required)
- Hardware program:Enterprise Edition supports local deployment, storing the knowledge base on the user's own server to reduce latency.
Performance Metrics:Tests show search response is still <800ms at 100,000 records (with all optimization options turned on)
This answer comes from the articleBrainfork: MCP server for building personal AI knowledge platformsThe
May not be reproduced without permission:AI productivity tools " How to overcome the problem of reduced retrieval efficiency due to increased knowledge base size?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil