richawo/chain-of-density

Implementing the Chain Of Density text summarisation technique from recent NLP research by researchers at Salesforce, MIT, Columbia, etc. Takes a long text input and iteratively generates increasingly concise, entity-dense summaries using LLMs (default: OpenAI's GPT-4). Feedback and contributions welcome!

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Emerging

This helps researchers, analysts, or content creators quickly get the core information from long articles, reports, or documents. You provide a lengthy text, and it generates a series of increasingly detailed yet concise summaries, highlighting key entities. It's for anyone needing to efficiently grasp the essence of complex information without reading the entire source.

No commits in the last 6 months.

Use this if you need to distill long, complex texts into highly condensed, information-rich summaries that capture all critical details.

Not ideal if you need a simple, single-pass summary or if you are not comfortable with basic command-line tool usage and API key setup.

research-summary content-briefing document-analysis information-extraction knowledge-synthesis
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 8 / 25
Community 13 / 25

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Stars

79

Forks

10

Language

Python

License

Last pushed

Mar 22, 2025

Commits (30d)

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Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/richawo/chain-of-density"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.