add mac support in this repo

.gitignore

@@ -8,6 +8,7 @@ demo/indices/
 *pycache*
 outputs/
 *.pkl
+*.pdf
 .history/
 scripts/
 lm_eval.egg-info/

README.md

@@ -85,6 +85,27 @@ This demo showcases how to build a RAG system for PDF documents using Leann.
 uv run examples/main_cli_example.py
 ```
 
+## ⚙️ Developer Build Instructions (macOS/Linux)
+
+If you are building or modifying the C++ backends (e.g., DiskANN, HNSW), please ensure the following dependencies are installed:
+
+```bash
+brew install boost protobuf zeromq
+```
+
+> On Linux, use your package manager (e.g., `apt install libboost-all-dev protobuf-compiler libprotobuf-dev libzmq3-dev`).
+
+### Regenerating Protobuf Files
+If you modify any `.proto` files (such as `embedding.proto`), or if you see errors about protobuf version mismatch, **regenerate the C++ protobuf files** to match your installed version:
+
+```bash
+# From the leann/packages/leann-backend-diskann directory:
+protoc --cpp_out=third_party/DiskANN/include --proto_path=third_party embedding.proto
+protoc --cpp_out=third_party/DiskANN/src --proto_path=third_party embedding.proto
+```
+
+This ensures the generated files are compatible with your system's protobuf library.
+
 ## ✨ Features
 
 ### 🔥 Core Features
@@ -259,7 +280,7 @@ export NCCL_DEBUG_SUBSYS=INIT,GRAPH
 export NCCL_IB_DISABLE=1
 export NCCL_NET_PLUGIN=none
 export NCCL_SOCKET_IFNAME=ens5
-
+```
 
 ## 📈 Roadmap
 

examples/main_cli_example.py

@@ -25,7 +25,7 @@ file_extractor: dict[str, BaseReader] = {
     ".md": reader,
 }
 node_parser = DoclingNodeParser(
-    chunker=HybridChunker(tokenizer="Qwen/Qwen3-Embedding-4B", max_tokens=128)
+    chunker=HybridChunker(tokenizer="facebook/contriever", max_tokens=128)
 )
 print("Loading documents...")
 documents = SimpleDirectoryReader(

pyproject.toml

@@ -21,7 +21,7 @@ dependencies = [
     "colorama",
     "boto3",
     "protobuf==4.25.3",
-    "sglang[all]",
+    "sglang",
     "ollama",
     "requests>=2.25.0",
     "sentence-transformers>=2.2.0",