Back to Under the Hood
Agentic Query Intelligence

Needle-Sharp Answers

The Doublecheck engine combines agentic reasoning with hybrid retrieval to answer complex questions about your construction documents—with citations you can verify.

Response Time:Sub-minute
Citation Accuracy:High precision
Reasoning Depth:Extended

The Query Pipeline

Every question flows through an intelligent pipeline: from submission to agentic search, through reasoning and citation extraction, to a verified answer with source highlights.

Async Pipeline Injection

Queries enter a distributed task queue, immediately spawning parallel workers. Non-blocking architecture ensures zero wait time while orchestration engines coordinate the multi-stage reasoning pipeline.

Task queue injectionInstant dispatch
Parallel orchestrationDistributed workers
Event-driven updatesReal-time streaming
// Response
{
"id": "qry_8f2k...",
"status": "PROCESSING",
"isReady": false
}

Dynamic Retrieval Engine

Multiple search strategies work in concert, dynamically regenerating queries based on initial results. The system iteratively refines its approach—narrowing, expanding, or pivoting—until it finds optimal context.

Vector Search

Semantic understanding

Keyword Match

Exact term lookup

Hybrid Fusion

Combined ranking

Re-ranking

Context-aware scoring

Query Refinement Loop
1
2
3
4

Generated Query

"concrete strength"
Strategy:Initial semantic search

Result Quality

47 documentsbroad

"Too many results. Need to narrow focus..."

Context Refinement25%

Checklists: Bulk Intelligence

Curate lists of questions and run them all with a single click. Perfect for QA/QC validation, specification reviews, or any repetitive document analysis task.

Concrete Specifications Review

4 queries • Division 03

What is the concrete compressive strength?

Expected: 4000 PSI at 28 days

What admixtures are specified?

Expected: Air-entraining, water reducer

What are the curing requirements?

Expected: 7 days minimum, keep moist

Cold weather placement limits?

Expected: No placement below 40°F

Neural Architecture

Multiple specialized models work in concert, each optimized for distinct cognitive tasks. Intelligent fallback chains ensure resilience—if one provider underperforms, another compensates.

Reasoning Engine

Primary Intelligence

  • Extended Thinking
  • Multi-step Reasoning
  • Citation Extraction
Capacity: Deep analysis

Vision Analyzer

Visual Understanding

  • Drawing Analysis
  • Diagram Interpretation
  • Floor Plan Reading
Capacity: High resolution

Neural Search

Semantic Retrieval

  • Vector Embeddings
  • Similarity Matching
  • Rank Fusion
Capacity: High dimensional

Resilience Chain

Primary Provider
Fallback A
Fallback B
Guaranteed Response

Automatic failover with quality-aware model selection

Fast

Response time

Precise

Citation accuracy

Deep

Reasoning capacity

Adaptive

Iteration depth