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
# Default installation (HNSW backend, recommended)
uv pip install leann
# With DiskANN backend (for large-scale deployments)
uv pip install leann[diskann]
Quick Start
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
License
MIT License