Document Library (AI Q&A)

Sun, 07 Sep 2025 00:00:00 +0000

The Document Library agent lets you attach documents, ask questions of their content, and receive AI-powered answers with traceable evidence — a full RAG (Retrieval-Augmented Generation) pipeline integrated into Nodlin.

The agent defines seven node types:

Library 📚 — Attach documents and ask questions
Document 📄 — Attach files (PDF), summarise to Markdown, record in vector database
Question ❓ — Ask questions using the local vector database (RAG/LangChain)
Answer 💬 — AI response with confidence level
Evidence 🔍 — Supporting detail from the vector database with similarity score
Chunk 📎 — The actual document content (Markdown) recorded in the vector database
Entity 🏷️ — Person, place, metric, or other entity type extracted from evidence to surface a knowledge graph

How It Works

Add documents to a Library by attaching files (e.g. corporate earnings reports, policy documents)
Documents are automatically converted to Markdown and indexed in a vector database
Ask questions of the library (e.g. “What are the key risks to growth in 2026?”)
Review answers alongside the underlying evidence and source reference points

Benefits

Traceable Answers 🔎 — Every answer links to the evidence and source document chunks that support it
Knowledge Graph 🌐 — Entities (people, places, metrics) are extracted to surface connections
Confidence Scoring 📊 — Answers include a confidence level so you know how reliable they are
Collaborative 🤝 — Teams share libraries and build institutional knowledge together

Writing Documents

Sun, 07 Sep 2025 00:00:00 +0000

Writing Documents provides a more natural, visual approach to structuring documents. Instead of a linear word processor, build your document as a graph — linking sections, evidence, and supporting material — then export a polished linear document when ready.

The agent defines three node types:

Document 📄 — Top-level container where you define the style (argument, analysis, explanation, comparison, procedure, or scientific). Supports section structure, e.g.: Argument — Claim → Evidence → Reasoning → Counterpoint → Conclusion
Section 📁 — Hierarchy of sections qualifying the document style
Text Block 📝 — Content blocks denoting type: reasoning, statement, conclusion, etc.

How It Works

Create a Document and set the writing style
Create a hierarchy of Sections
Add Text Blocks (reasoning, statement, conclusion, etc.) linked to sections
View as a book and reorganise sections — a document is a graph with constraints (tree, no loops, ordered)
Export as RTF (for Word) or Markdown

Benefits

Graph-Based Structure 🌐 — Link to supporting nodes (mind maps, data analysis) that may not appear in the final document
Live Collaboration 🤝 — Multiple users work on the same document graph simultaneously
Re-use Without Copy-Paste 🔄 — Reference detail from other graphs directly
Multiple Views 📐 — Outline view, board view, and graph view of the same content
Clean Export 📤 — Export the linear narrative for traditional consumption

Documents | nodlin.com

Document Library (AI Q&A)

How It Works

Benefits

Writing Documents

How It Works

Benefits