chore: build and package

packages/leann-backend-hnsw/pyproject.toml

@@ -8,7 +8,12 @@ build-backend = "scikit_build_core.build"
 name = "leann-backend-hnsw"
 version = "0.1.0"
 description = "Custom-built HNSW (Faiss) backend for the Leann toolkit."
-dependencies = ["leann-core==0.1.0", "numpy"]
+dependencies = [
+    "leann-core==0.1.0", 
+    "numpy",
+    "pyzmq>=23.0.0",
+    "msgpack>=1.0.0",
+]
 
 [tool.scikit-build]
 wheel.packages = ["leann_backend_hnsw"]

packages/leann-core/pyproject.toml

@@ -5,14 +5,22 @@ build-backend = "setuptools.build_meta"
 [project]
 name = "leann-core"
 version = "0.1.0"
-description = "Core API and plugin system for Leann."
+description = "Core API and plugin system for LEANN"
 readme = "README.md"
 requires-python = ">=3.9"
 license = { text = "MIT" }
 
+# All required dependencies included
 dependencies = [
     "numpy>=1.20.0",
-    "tqdm>=4.60.0"
+    "tqdm>=4.60.0",
+    "psutil>=5.8.0",
+    "pyzmq>=23.0.0",
+    "msgpack>=1.0.0",
+    "torch>=2.0.0",
+    "sentence-transformers>=2.2.0",
+    "llama-index-core>=0.12.0",
+    "python-dotenv>=1.0.0",
 ]
 
 [project.scripts]

packages/leann/README.md

@@ -0,0 +1,40 @@
+# 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 

packages/leann/__init__.py

@@ -0,0 +1,12 @@
+"""
+LEANN - Low-storage Embedding Approximation for Neural Networks
+
+A revolutionary vector database that democratizes personal AI.
+"""
+
+__version__ = "0.1.0"
+
+# Re-export main API from leann-core
+from leann_core import LeannBuilder, LeannSearcher, LeannChat
+
+__all__ = ["LeannBuilder", "LeannSearcher", "LeannChat"]

packages/leann/pyproject.toml

@@ -0,0 +1,42 @@
+[build-system]
+requires = ["setuptools>=61.0"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "leann"
+version = "0.1.0"
+description = "LEANN - The smallest vector index in the world. RAG Everything with LEANN!"
+readme = "README.md"
+requires-python = ">=3.9"
+license = { text = "MIT" }
+authors = [
+    { name = "LEANN Team" }
+]
+keywords = ["vector-database", "rag", "embeddings", "search", "ai"]
+classifiers = [
+    "Development Status :: 4 - Beta",
+    "Intended Audience :: Developers",
+    "License :: OSI Approved :: MIT License",
+    "Programming Language :: Python :: 3",
+    "Programming Language :: Python :: 3.9",
+    "Programming Language :: Python :: 3.10",
+    "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
+]
+
+# Default installation: core + hnsw
+dependencies = [
+    "leann-core>=0.1.0",
+    "leann-backend-hnsw>=0.1.0",
+]
+
+[project.optional-dependencies]
+diskann = [
+    "leann-backend-diskann>=0.1.0",
+]
+
+[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"