Document RAG System

Search and query your mission documents with AI. The Retrieval-Augmented Generation system indexes PDFs, manuals, and SOPs, enabling natural language questions with accurate, sourced answers.

Intelligent Document Search

The Document RAG (Retrieval-Augmented Generation) System transforms how you interact with mission documentation. Instead of searching for keywords and reading pages of results, ask natural language questions and get precise answers with source citations.

📄 Field Manual Query

A team member needs to know the correct procedure for a specific medical emergency. Instead of paging through a 200-page field manual, they ask: "What's the correct tourniquet application procedure?" The system returns the exact steps with a citation to the relevant manual section.

How RAG Works

RAG combines document retrieval with AI language generation. When you ask a question, the system first finds relevant document passages, then generates a coherent answer based on those sources. This ensures accuracy while providing natural language responses.

RAG Pipeline

Supported Document Types

The system processes a wide variety of document formats commonly used in tactical and professional environments.

Format Processing Features
PDF Text extraction, OCR for scanned docs Page citations, section detection
Word (DOCX) Full text extraction Heading structure preserved
PowerPoint (PPTX) Slide content extraction Slide-by-slide citations
Plain Text Direct processing Paragraph detection
Markdown Structure-aware parsing Heading hierarchy preserved
HTML Content extraction Link preservation

Geospatial Document Tagging

Unique to this implementation, documents can be tagged with geographic relevance. Ask questions about a location and the system prioritizes documents tagged for that area.

Geo-Tagging Features

Semantic Search

Beyond keyword matching, the system understands the meaning of your queries. Ask about "emergency landing procedures" and find relevant content even if the document uses different terminology like "forced approach" or "precautionary landing."

🔎 Conceptual Queries

A user asks "What do I do if communications are jammed?" The system finds relevant sections even though the manual uses phrases like "electronic warfare countermeasures" and "alternative communication protocols" rather than the word "jammed."

On-Device Processing

All document processing and querying happens on the device. No documents are uploaded to external servers, ensuring operational security and functionality in disconnected environments.

Privacy & Security

Document Collections

Organize documents into collections for different missions, teams, or topics. Query across all collections or focus on specific document sets.

Collection Type Contents Use Case
Mission SOPs Standard operating procedures Quick reference during operations
Equipment Manuals Technical documentation Troubleshooting and procedures
Area Study AOI-specific intelligence Regional context and history
Training Materials Courses and guides Skill development and reference

Answer Verification

Every AI-generated answer includes citations to source passages. Tap a citation to view the original document with the relevant section highlighted, enabling verification of accuracy.

RAG Vector Embeddings Semantic Search On-Device LLM Geo-Tagging PDF Parsing
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