Document-Based Chatbots Chat with PDFs, Contracts & SOP Knowledge Bases
Unlock the knowledge trapped inside your PDFs, SOP manuals, compliance guidelines, and contracts. Our document RAG chatbots deliver verified answers in sub-350ms, with cryptographic citations pointing to the exact source page and paragraph.
Production Performance Telemetry
Next.js 15 • Edge Hybrid Rendering
Staff Spend Hours Digging Through 500-Page PDFs
Employees waste 30+ minutes hunting for specific compliance clauses, engineering standards, or HR policies across sprawling document folders.
Generic Public LLMs Hallucinate & Leak Data
Using public tools leads to invented citations and risks leaking confidential corporate agreements or financial statements to third parties.
Hybrid Vector + BM25 Retrieval Engine
Parses complex tables, diagrams, and text hierarchical chunks, storing dense embeddings in secure private pgvector databases with sub-350ms search.
Cryptographic Page-Level Citation Grounding
Every answer links directly to the exact source document, page number, and paragraph so any staff member can verify facts with a single click.
What We Provide in Document-Based Chatbots
Core features and architectural capabilities built directly into your document-based chatbots deployment.
ZERO LOCK-IN
PRODUCTION-READY CODE
How We Deliver Document-Based Chatbots
Document Audit
Analyzing PDF, Word, and Notion repositories for structure and formatting.
Chunking & Embedding
Parsing tables and text into dense vector embeddings in pgvector.
Citation Engine
Configuring neural re-ranking and verifiable citation links.
Security & Launch
Setting RBAC permissions and deploying to internal team portals.
Ready to engineer your Document-Based Chatbots?
Speak with our principal architects and software engineers. We will map out your exact system requirements, technical dependencies, and delivery timeline.