Question 1

What is Knwler?

Accepted Answer

Knwler is an enterprise document intelligence platform that extracts structured knowledge graphs from documents using Large Language Models. It identifies entities, relationships, and topics from PDFs, text files, and Markdown — producing interactive reports and exports for graph analytics platforms.

Question 2

Can Knwler run fully on-premise?

Accepted Answer

Yes. Knwler supports fully air-gapped operation via Ollama with open-weight models. No data leaves your infrastructure, making it suitable for classified and regulated environments with strict data sovereignty requirements.

Question 3

What languages does Knwler support?

Accepted Answer

Knwler auto-detects document language and supports English, German, French, Spanish, and Dutch out of the box. Additional languages can be added by extending a single configuration file.

Question 4

What export formats are available?

Accepted Answer

Knwler exports to JSON, GML, GraphML, and interactive HTML. These can be imported directly into Neo4j, Gephi, yEd, Memgraph, SurrealDB, or used to generate vector embeddings for semantic search.

Question 5

How much does it cost to process a document?

Accepted Answer

Using cloud LLMs (OpenAI GPT-4o), processing costs approximately $0.20 per 20-page document. Running on-premise with local models is completely free after initial setup. Intelligent caching means re-runs cost nothing.