Skip to main content
Sift-kg includes three complete example pipelines that demonstrate the full extraction, building, and narrative generation workflow across different domains and document types.

​
Available Examples

Transformers Research

12 foundational AI papers analyzed into 425 entities

FTX Collapse

9 Wikipedia articles about the cryptocurrency exchange collapse

Epstein/Maxwell Deposition

Court deposition with OCR-scanned PDF processing

​
What These Examples Show

Each example includes:
  • Complete source documents — PDFs or text files you can inspect
  • Full pipeline outputs — Extractions, graph data, merge proposals, narratives
  • Interactive graph viewer — Open output/graph.html in any browser
  • Real cost data — Actual LLM API costs from running the pipeline
  • Reproducible commands — Re-run from existing extractions or start fresh

​
Quick Start

All examples can be explored immediately without installation: 
# Clone the repository
git clone https://github.com/ARadRareness/sift-kg.git
cd sift-kg/examples

# Open any example's interactive graph
open transformers/output/graph.html  # macOS
xdg-open ftx/output/graph.html       # Linux
start epstein\output\graph.html      # Windows

​
Comparison Table

ExampleDocumentsFinal EntitiesRelationsDomainTotal Cost
Transformers12 PDFs4251,122Academic research~$0.72
FTX9 text files3731,184Finance/journalism~$0.28
Epstein1 PDF (36 sections)190387Legal/investigativeN/A

​
Running Examples Yourself

Each example supports two workflows:

​
Start from Existing Extractions (Free)

No LLM calls required — use the pre-extracted entities: 
pip install sift-kg
sift build -o examples/transformers/output
sift view -o examples/transformers/output

​
Re-run Full Pipeline

Extract fresh entities from source documents: 
sift extract examples/transformers/docs --model openai/gpt-4o-mini -o my-output --domain academic
sift build -o my-output
sift resolve -o my-output --model openai/gpt-4o-mini
sift review -o my-output
sift apply-merges -o my-output
sift narrate -o my-output --model openai/gpt-4o-mini
sift view -o my-output
Start with the Transformers example if you’re working with academic papers, FTX for news articles or business analysis, or Epstein if you need OCR support for scanned documents.

​
Next Steps

Install sift-kg

Get started with your own documents

Pipeline Guide

Understand the full extraction workflow

Build docs developers (and LLMs) love

Get started for freeTalk to us