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 injection - Instant dispatch
Parallel orchestration - Distributed workers
Event-driven updates - Real-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
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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

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