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LEANN is a revolutionary vector database that makes personal AI accessible to everyone. Transform your laptop into a powerful RAG system that can index and search through millions of documents while using **97% less storage** than traditional solutions **without accuracy loss**. LEANN is a revolutionary vector database that makes personal AI accessible to everyone. Transform your laptop into a powerful RAG system that can index and search through millions of documents while using **97% less storage** than traditional solutions **without accuracy loss**.
RAG your **[file system](#📚-process-any-documents-pdf-txt-md)**, **[emails](#🕵️-search-your-entire-life)**, **[browser history](#🌐-time-machine-for-the-web)**, **[WeChat](#💬-wechat-detective)**, or 60M documents on your laptop, in nearly zero cost. No cloud, no API keys, completely private. RAG your **[file system](#-process-any-documents-pdf-txt-md)**, **[emails](#-search-your-entire-life)**, **[browser history](#-time-machine-for-the-web)**, **[WeChat](#-wechat-detective)**, or 60M documents on your laptop, in nearly zero cost. No cloud, no API keys, completely private.
LEANN achieves this through *graph-based selective recomputation* with *high-degree preserving pruning*, computing embeddings on-demand instead of storing them all. [Read more →](#️-architecture--how-it-works) | [Paper →](https://arxiv.org/abs/2506.08276) LEANN achieves this through *graph-based selective recomputation* with *high-degree preserving pruning*, computing embeddings on-demand instead of storing them all. [Read more →](#️-architecture--how-it-works) | [Paper →](https://arxiv.org/abs/2506.08276)
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LEANN supports RAGing a lot of data sources, like .pdf, .txt, .md, and also supports RAGing your WeChat, Google Search History, and more. LEANN supports RAGing a lot of data sources, like .pdf, .txt, .md, and also supports RAGing your WeChat, Google Search History, and more.
### 📚 Process Any Documents (.pdf, .txt, .md) ### Process Any Documents (.pdf, .txt, .md)
Above we showed the Python API, while this CLI script demonstrates the same concepts while directly processing PDFs and documents. Above we showed the Python API, while this CLI script demonstrates the same concepts while directly processing PDFs and documents.
@@ -142,7 +142,7 @@ Uses Ollama `qwen3:8b` by default. For other models: `--llm openai --model gpt-4
**Works with any text format** - research papers, personal notes, presentations. Built with LlamaIndex for document parsing. **Works with any text format** - research papers, personal notes, presentations. Built with LlamaIndex for document parsing.
### 🕵️ Search Your Entire Life ### Search Your Entire Life
```bash ```bash
python examples/mail_reader_leann.py python examples/mail_reader_leann.py
# "What did my boss say about the Christmas party last year?" # "What did my boss say about the Christmas party last year?"
@@ -181,7 +181,7 @@ Once the index is built, you can ask questions like:
- "Show me emails about travel expenses" - "Show me emails about travel expenses"
</details> </details>
### 🌐 Time Machine for the Web ### Time Machine for the Web
```bash ```bash
python examples/google_history_reader_leann.py python examples/google_history_reader_leann.py
# "What was that AI paper I read last month?" # "What was that AI paper I read last month?"
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</details> </details>
### 💬 WeChat Detective ### WeChat Detective
```bash ```bash
python examples/wechat_history_reader_leann.py python examples/wechat_history_reader_leann.py