🚀 How Evrone Built a Practical RAG Assistant for Internal Knowledge

🤖 Turning a Corporate Wiki into a Living AI System

Evrone approached a common problem: employees kept asking the same HR questions despite having a detailed Wiki 📚. The knowledge existed, but access was inefficient.

To solve this, Evrone designed a RAG-based assistant integrated directly into their ERP system. This ensured answers appear exactly where questions arise.

🔹 Key Engineering Decisions

1. Embedded Interface

Evrone placed the assistant inside the ERP dashboard, avoiding external tools.

2. Efficient Backend

A FastAPI service handles:

Query processing
Context retrieval
Communication with the LLM

3. Smart Chunking

Evrone split Wiki content by headers, ensuring each chunk represents a meaningful topic.

🔹 Improving Answer Quality

Evrone enhanced relevance through:

Semantic search with embeddings
Careful tuning of chunk size
Human evaluation of responses

🔹 Continuous Updates

A key innovation is automation 🔄:

Scripts monitor Wiki changes
Indexes are rebuilt instantly
Outdated data is removed

🔹 Security First

Evrone avoided SaaS solutions to protect sensitive internal data 🔐. The system includes:

Topic filtering
Rate limiting
Internal authentication

🔹 Results

Evrone reduced repetitive HR requests and improved focus across teams. The assistant now evolves continuously, guided by real usage data 📊.