HowardChan

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Upgrade it to the latest version solved it for me.

You're right. Based on #1085, the chunk_ids of LIGHTRAG_VDB_ENTITY and LIGHTRAG_VDB_RELATION should be an array of VARCHAR. I believe it's also related to #1091.

> error:column "chunk_ids" of relation "lightrag_vdb_entity" does not exist Failed to extract entities and relationships > > reporting the same issue.. Hey, Please pull the latest code and rebuild your...

> See comments Hi! I'm glad to see your comment, I've resolved it.PTAL.

> @Howe829 Hello, please resolve deps issue here. Hi there! I've resolved the deps issues.The Pytest failed due to the api key provided in test_pinecone.py is not real.

> > > @Howe829 Hello, please resolve deps issue here. > > > > > > Hi there! I've resolved the deps issues.The Pytest failed due to the api key...

> Seems there more conflicts here. Resolved.PTAL @crazywoola

> > > 因为用的还是朴素rag的那一套做的,想要效果好还得结合高级rag和搜索引擎 > > > > > > 高级的rag是什么样子的?graph rag?advanced rag?总感觉是模型上对中文支持的问题 > > 举个例子,在做文本切分的时候还是用的chunk_size,不能按句子、段落或语义切分 > > ![Image](https://github.com/user-attachments/assets/b90d37c7-2a78-4346-8988-9954d743a9a7) 你贴的这个图,就是按句子切分的SentenceWindow技术额