← Back to Technology
DEEP TECH ARCHITECTURE
SemanAI Hybrid RAG Architecture v1.0
Neuro-Symbolic Engine & Data Pipeline Specification
Data Ingestion
🏛️ Public Datasets
- AI Hub (Healthcare)
- K-Data (Senior Log)
📂 Internal Logs
- App User Activity
ETL & Processing
Unstructured Pipe
1. Chunking
2. Embedding Model
Model: bge-m3 (Kor)
Structured Pipe
1. Entity Extraction
2. Relation Mapping
Tech: RE-Alpaca
Vector DB
Milvus / Chroma
Graph DB
Neo4j / Memgraph
SemanAI GraphRAG Engine
1. Hybrid Retrieval
Vector Sim. (kNN)
+
Graph Traversal (Cypher)
-> Re-Ranking
2. Generation (LLM)
Context Injection:
"Patient A (Parkinson) + Floor(Tile)"
Model: Llama-3 (Fine-tuned)
Framework: LangChain / LlamaIndex
3. Fact Check (Guardrail)
Hallucination Detection via Graph
Safe Prediction