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Merge remote-tracking branch 'origin/main' into fix/openai-embeddings-cosine-distance

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This commit is contained in:
Andy Lee
2025-07-28 10:17:55 -07:00
parent 34ef0db42f 261006c36a
commit 4b4b825fec
11 changed files with 308 additions and 220 deletions
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4
packages/leann-backend-diskann/pyproject.toml
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@@ -4,8 +4,8 @@ build-backend = "scikit_build_core.build"
[project]
name = "leann-backend-diskann"
version = "0.1.14"
dependencies = ["leann-core==0.1.14", "numpy", "protobuf>=3.19.0"]
version = "0.1.15"
dependencies = ["leann-core==0.1.15", "numpy", "protobuf>=3.19.0"]
[tool.scikit-build]
# Key: simplified CMake path

4
packages/leann-backend-hnsw/pyproject.toml
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@@ -6,10 +6,10 @@ build-backend = "scikit_build_core.build"
[project]
name = "leann-backend-hnsw"
version = "0.1.14"
version = "0.1.15"
description = "Custom-built HNSW (Faiss) backend for the Leann toolkit."
dependencies = [
"leann-core==0.1.14",
"leann-core==0.1.15",
"numpy",
"pyzmq>=23.0.0",
"msgpack>=1.0.0",

2
packages/leann-core/pyproject.toml
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@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
[project]
name = "leann-core"
version = "0.1.14"
version = "0.1.15"
description = "Core API and plugin system for LEANN"
readme = "README.md"
requires-python = ">=3.9"

17
packages/leann/README.md
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@@ -16,25 +16,24 @@ uv pip install leann[diskann]
```python
from leann import LeannBuilder, LeannSearcher, LeannChat
from pathlib import Path
INDEX_PATH = str(Path("./").resolve() / "demo.leann")
# 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")
builder.add_text("Tung Tung Tung Sahur called—they need their banana‑crocodile hybrid back")
builder.build_index(INDEX_PATH)
# Search
searcher = LeannSearcher("my_index.leann")
results = searcher.search("storage savings", top_k=3)
searcher = LeannSearcher(INDEX_PATH)
results = searcher.search("fantastical AI-generated creatures", top_k=1)
# 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?")
chat = LeannChat(INDEX_PATH, llm_config={"type": "hf", "model": "Qwen/Qwen3-0.6B"})
response = chat.ask("How much storage does LEANN save?", top_k=1)
```
## Documentation
For full documentation, visit [https://leann.readthedocs.io](https://leann.readthedocs.io)
## License
MIT License

8
packages/leann/pyproject.toml
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@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
[project]
name = "leann"
version = "0.1.14"
version = "0.1.15"
description = "LEANN - The smallest vector index in the world. RAG Everything with LEANN!"
readme = "README.md"
requires-python = ">=3.9"
@@ -36,7 +36,5 @@ diskann = [
]
[project.urls]
Homepage = "https://github.com/yourusername/leann"
Documentation = "https://leann.readthedocs.io"
Repository = "https://github.com/yourusername/leann"
Issues = "https://github.com/yourusername/leann/issues"
Repository = "https://github.com/yichuan-w/LEANN"
Issues = "https://github.com/yichuan-w/LEANN/issues"