Building an Enterprise Private Knowledge Base with Crawler, Vector Database, and LLM
Overview
Large Language Models face several critical challenges in enterprise settings:
Research costs: Running a 13B+ model requires 24GB+ VRAM for full quantization, making experimentation expensive
Training overhead: Knowledge updates require complete retraining cycles
Hallucination: Models generate plausible but incorrect responses when la ...
Posted on Wed, 13 May 2026 04:56:58 +0000 by ozzysworld
Building Multi-Agent Collaborative RAG Systems with Spring AI Alibaba
System Architecture
Three-Layer Collaboration Model
1. RAG Execution Unit (Sequential Collaboration)
Query Rewriting → Multi-path Retrieval → Answer Generation
Executes a complete RAG workflow independently
2. Checker Agent (Cyclic Collaboration)
Multi-dimensional scoring (relevance, accuracy, completeness, timeliness)
Provides improvement sug ...
Posted on Sun, 10 May 2026 00:16:04 +0000 by meshi