add configuable funcname

examples/main_cli_example.py

@@ -21,7 +21,7 @@ file_extractor: dict[str, BaseReader] = {
     ".xlsx": reader,
 }
 node_parser = DoclingNodeParser(
-    chunker=HybridChunker(tokenizer="Qwen/Qwen3-Embedding-4B", max_tokens=512)
+    chunker=HybridChunker(tokenizer="Qwen/Qwen3-Embedding-4B", max_tokens=64)
 )
 
 documents = SimpleDirectoryReader(
@@ -67,7 +67,7 @@ async def main():
     print(f"\n[PHASE 2] Starting Leann chat session...")
     chat = LeannChat(index_path=INDEX_PATH)
     
-    query = "Based on the paper, what are the main techniques LEANN explores to reduce the storage overhead?"
+    query = "Based on the paper, what are the main techniques LEANN and DLPM explores to reduce the storage overhead?"
     print(f"You: {query}")
     chat_response = chat.ask(query, top_k=10, recompute_beighbor_embeddings=True)
     print(f"Leann: {chat_response}")

packages/leann-backend-hnsw/leann_backend_hnsw/hnsw_backend.py

@@ -192,6 +192,7 @@ class HNSWBuilder(LeannBackendBuilderInterface):
         build_kwargs = {**self.build_params, **kwargs}
         metric_str = build_kwargs.get("distance_metric", "mips").lower()
         metric_enum = get_metric_map().get(metric_str)
+        print('metric_enum', metric_enum,' metric_str', metric_str)
         if metric_enum is None:
             raise ValueError(f"Unsupported distance_metric '{metric_str}'.")
 
@@ -217,7 +218,9 @@ class HNSWBuilder(LeannBackendBuilderInterface):
                 faiss.normalize_L2(data)
             
             # Add vectors to index
+            print('starting to add vectors to index')
             index.add(data.shape[0], faiss.swig_ptr(data))
+            print('vectors added to index')
             
             # Save index
             index_file = index_dir / f"{index_prefix}.index"