Upload any document — contracts, policies, regulations — and ask plain-English questions. Every answer is grounded with exact citations: document name, section, and relevant passage.
Go beyond keyword search — build AI systems that understand your documents, cite their sources, and never hallucinate
Qdrant vector database finds the most relevant passages using embedding similarity — not just keyword matching. Understands intent, not just words.
Exact document name, section, and passage shown alongside every answer — critical for legal, compliance, and regulatory use cases.
When the answer is not in your documents, the system says so clearly rather than guessing. Confidence scoring prevents false answers reaching users.
Upload multiple documents — contracts, policies, regulations — and query across all of them simultaneously in a single session.
Ask questions in natural language — no Boolean operators, no search syntax. The AI understands context and retrieves relevant passages automatically.
Documents are chunked, embedded, and indexed in seconds. Search a 300-page contract within moments of upload — no manual tagging required.
Measurable impact from day one — here's what document AI delivers for your team
Search 300-page legal documents in seconds. What used to take hours of manual review is now a plain-English question with a cited answer.
Every answer is grounded in your actual documents. The system never fabricates information — it cites every passage it draws from.
Every response includes the exact document name, section heading, and relevant passage — building trust with professional and legal buyers.
Query across multiple documents simultaneously — compare contract terms, cross-reference policies, or audit obligations across filings.
Automate Tier-1 document research. Free your legal, compliance, or analyst team to focus on interpretation rather than manual extraction.
Full audit trail of every query and every retrieved passage. Compliance-ready by design — every answer is traceable back to its source.
See the difference — traditional search finds words, RAG understands meaning and cites sources
| Capability | Keyword Search | DocuSage RAG |
|---|---|---|
| Semantic understanding of questions | ||
| Source citations on every answer | ||
| Confidence scoring & honesty | ||
| Multi-document querying | ||
| Zero hallucination guarantee | ||
| Natural language questions | ||
| Fast search across large documents | ||
| Works with any document format |
From document upload to cited answer in four simple steps
Upload any PDF — contracts, policies, reports. The system chunks and embeds them instantly.
Qdrant generates semantic embeddings and indexes every passage for instant retrieval.
Type your question naturally — clauses, obligations, risks, deadlines. No search syntax needed.
Receive a concise, grounded answer with the exact document, section, and passage cited.
Production-grade document AI deployed across legal, compliance, and research teams
Upload NDAs, service agreements, or regulatory filings and instantly extract specific clauses, obligations, and risk terms with exact citations.
Train on your internal compliance policies and let employees ask plain-English questions — with cited answers that reference the exact policy section.
Query across multiple regulatory filings simultaneously — map obligations, compare requirements, and flag conflicts across jurisdictions.
Built on proven, production-ready technologies
From upload to cited answer in minutes — not hours. Our team builds and deploys your custom RAG system tailored to your document types and use case.