From Document to Knowledge
Watch how Pelles transforms raw documents into a semantically-rich knowledge graph. Every page undergoes multi-modal analysis, contextual understanding, and neural encoding— orchestrated in parallel at scale.
The Intelligence Pipeline
Documents flow through six orchestrated stages, each applying specialized AI models to extract, understand, and encode information into queryable knowledge.
Document Ingestion
The intelligence pipeline begins when a document enters the system. Pelles accepts 100+ formats— from standard PDFs to specialized construction files like Primavera P6 schedules and MS Project plans.
Click to simulate document ingestion
The Document Processor
Each page traverses an orchestration graph—a directed state machine that ensures deterministic flow, automatic recovery, and observable transformations at each node.
Context Initialization
Hydrate the processing context from cloud storage, initialize lazy-loaded properties, and prepare the analysis pipeline.
ProcessingContext { pageRef, documentMeta, analysisConfig }
Neural Architecture
Multiple specialized models operate in concert, each optimized for distinct cognitive tasks. Intelligent fallback chains ensure resilience—if one model underperforms, another compensates.
Primary LLM
Language Understanding
- Contextual Classification
- Semantic Summarization
- Entity Extraction
Vision Model
Visual Intelligence
- Table Detection
- Drawing Analysis
- Layout Understanding
Neural Embedding
Semantic Encoding
- High-Dimensional Fingerprints
- Similarity Mapping
- Knowledge Linking
Resilience Chain
Automatic failover with quality-aware model selection
100+
File formats
99.7%
Accuracy rate
4x
Auto-recovery
3072
Vector dimensions