| Name | leann JSON |
| Version |
0.1.11
JSON |
| download |
| home_page | None |
| Summary | LEANN - The smallest vector index in the world. RAG Everything with LEANN! |
| upload_time | 2025-07-26 00:23:31 |
| maintainer | None |
| docs_url | None |
| author | LEANN Team |
| requires_python | >=3.9 |
| license | MIT |
| keywords |
vector-database
rag
embeddings
search
ai
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# LEANN - The smallest vector index in the world
LEANN is a revolutionary vector database that democratizes personal AI. 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**.
## Installation
```bash
# Default installation (HNSW backend, recommended)
uv pip install leann
# With DiskANN backend (for large-scale deployments)
uv pip install leann[diskann]
```
## Quick Start
```python
from leann import LeannBuilder, LeannSearcher, LeannChat
# Build an index
builder = LeannBuilder(backend_name="hnsw")
builder.add_text("LEANN saves 97% storage compared to traditional vector databases.")
builder.build_index("my_index.leann")
# Search
searcher = LeannSearcher("my_index.leann")
results = searcher.search("storage savings", top_k=3)
# Chat with your data
chat = LeannChat("my_index.leann", llm_config={"type": "ollama", "model": "llama3.2:1b"})
response = chat.ask("How much storage does LEANN save?")
```
## Documentation
For full documentation, visit [https://leann.readthedocs.io](https://leann.readthedocs.io)
## License
MIT License
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