Document Intelligence
ConceptsDocument intelligence is the use of AI to understand, structure, and extract value from documents. It encompasses parsing (turning files into text and structure), extraction (pulling out structured data), RAG (answering questions from documents), and related capabilities. DocLD is a document intelligence platform that combines these capabilities in a unified pipeline.
Core Capabilities
| Capability | What It Does | DocLD Feature |
|---|---|---|
| Parsing | Extract text, tables, and layout from PDFs, images, spreadsheets | Native parsing, OCR |
| Extraction | Pull structured data (invoices, contracts, resumes) | Schema-based extraction |
| Search | Find content by meaning, not just keywords | Vector search, RAG |
| Chat | Answer questions using document content | RAG chat with citations |
Document intelligence turns unstructured data into actionable information without manual data entry or brittle rules.
How DocLD Delivers Document Intelligence
Upload → Parse → OCR (if needed) → Chunk → Embed → Index ↓ Extract (with schema) → Structured data + citations ↓ Chat (RAG) → Answers + citations
Parsing and OCR handle diverse formats and languages. Chunking and embedding enable semantic vector search. RAG grounds LLM answers in your documents, reducing hallucination.
Why It Matters
- Accuracy — AI extraction with confidence scores and citations for audit
- Speed — Process documents in seconds instead of manual review
- Scale — Handle batch processing for high volumes
- Flexibility — Zero-shot extraction without training; adapt schemas per use case
Related Concepts
Document intelligence in DocLD is built on parsing, extraction, RAG, and vector search. Knowledge bases organize documents for search and chat.