[Bug]: <title>ValueError: shapes (0,512) and (1024,) not aligned: 512 (dim 1) != 1024 (dim 0)

[Harris-Xie]

Do you need to file an issue?

• [ ] I have searched the existing issues and this bug is not already filed.
• [ ] I believe this is a legitimate bug, not just a question or feature request.

Describe the bug

使用Ollama的BGE作为embedding，写的很清楚embedding_dim是512，但是会对query 嵌入成1024的形式

Steps to reproduce

No response

Expected Behavior

No response

LightRAG Config Used

Paste your config here

Logs and screenshots

No response

Additional Information

• LightRAG Version:
• Operating System:
• Python Version:
• Related Issues:

[Buzeg]

same here

[Salary-only-17k]

一样 我也遇到了 async def initialize_rag(): rag = LightRAG( working_dir=WORKING_DIR, llm_model_func=ollama_model_complete, llm_model_name="qwen2.5:14b", llm_model_max_async=4, llm_model_max_token_size=32768, llm_model_kwargs={ "host": "http://localhost:11434", "options": {"num_ctx": 32768}, }, embedding_func=EmbeddingFunc( embedding_dim=768, max_token_size=8192, func=lambda texts: ollama_embed( texts, embed_model="quentinz/bge-large-zh-v1.5:latest", host="http://localhost:11434" ), ),

ValueError: shapes (0,768) and (1024,) not aligned: 768 (dim 1) != 1024 (dim 0)