LLM Copy Buttons + RAG Library

Open in ChatGPT / Claude / Perplexity Quickly opens the selected service in a new tab and puts it into context.

Save to Library Saves the page to your local library.

Library A convenient list of saved materials: search, select, delete, export.

💎 What the Pro version adds:

Full RAG Library Save articles, documentation, READMEs, and other sources in Library, then work with them as one unified knowledge set.

Bulk extraction from a URL list Paste a list of links into Extract URL list, and the extension processes them one by one. This is useful for quickly building a dataset.

Export a ready-to-use RAG package (ZIP) Pro lets you export your library without limits in a single archive. Inside, you get everything needed for downstream processing:

📝 markdown/ — structured page texts (.md) 📄 plain/ — plain text (.txt) 🧩 meta/ — source metadata (.json) 🧮 pages.jsonl — pages in pipeline-ready format 🧠 chunks.jsonl — vectorization-ready segments ⚙️ manifest.json — export package description

Smart Chunking For RAG, it is important not only to split text, but to preserve meaning across boundaries. Library settings include:

chunk size (number of characters) overlap (chunk overlap) This helps produce more stable retrieval and more accurate LLM answers. 👥 Who Pro is for

people building an internal knowledge base teams preparing content for AI assistants users who need regular export of large datasets developers building RAG solutions 🔒 Privacy and security

works only on explicit user actions no hidden background tracking no page content sent to third-party servers minimal browser permissions