Pipeline Architecture
Multi-agent RAG pipeline with intelligent document processing
Processing Pipeline
Document Ingestion
Stage 1MineRU-style document parsing and extraction
PDF ParserDOCX ExtractorImage Handler
Multi-OCR Pipeline
Stage 2DeepSeek OCR 2 • Gemini 3 Flash • Mistral OCR
Table DetectionEquation ExtractionLayout Analysis
Intelligent Chunking
Stage 3Chonkie-inspired semantic-aware chunking
Heading DetectionTable PreservationOverlap Control
Knowledge Graph
Stage 4Neo4j graph database for document relationships
Entity ExtractionRelationship MappingGraph Indexing
Multi-Agent RAG
Stage 5n8n orchestrated search with CRAG & PageIndex
Context DetectionCorrective RAGCitation Ranking
Search & Retrieval
Stage 6Perplexity sonar-pro with streaming results
Semantic SearchCode SearchWeb Enrichment
Service Connections
Perplexity (Search)
AI-powered search engine
Groq (LLM)
Fast AI inference
Neo4j (Graph)
Knowledge graph database
n8n (Orchestration)
Multi-agent workflows
Firecrawl (Web)
Web scraping & enrichment
GitHub (Code)
Code search & repos
Technology Stack
Search
Perplexity sonar-pro
LLM
Groq (Llama 3.3)
Graph DB
Neo4j 5
Orchestration
n8n Workflows
OCR
DeepSeek / Gemini / Mistral
Chunking
Semantic (Chonkie)
Doc Parse
MineRU Pipeline
RAG
CRAG + PageIndex