NiklausDu

我的场景是： 希望在一块大显存GPU上开多个worker，然后每个worker支持批量推理 应该是最适合使用RedisStreamer类，对么

I have uploaded 700 papers in txt format (parsed from PDF), totaling 17M @jgbradley1 > How much data did you upload before starting an indexing job? Did you use the...

The maximum file size is 100KB > I have uploaded 700 papers in txt format (parsed from PDF), totaling 17M @jgbradley1 > > > How much data did you upload...

> I just realised that my problem was putting the wrong format for `GRAPHRAG_API_BASE`, so I changed that to the actual Azure OpenAI Endpoint URL. That was a bit dumb....

this is the log after i run _kubectl logs indexing-job-e8eca148d5bc2b0004e7dc49db249490-qgl5q_: ``` openai.RateLimitError: Error code: 429 - {'error': {'code': '429', 'message': 'Rate limit is exceeded. Try again in 5 seconds.'}} [ERROR]...

and this is my deploy para: ``` { "GRAPHRAG_API_BASE": "https://ada002-eus2.openai.azure.com/", "GRAPHRAG_API_VERSION": "2023-12-01-preview", "GRAPHRAG_EMBEDDING_DEPLOYMENT_NAME": "ada002-eus2", "GRAPHRAG_EMBEDDING_MODEL": "text-embedding-ada-002", "GRAPHRAG_LLM_DEPLOYMENT_NAME": "tcl-ai-France", "GRAPHRAG_LLM_MODEL": "gpt-4", "LOCATION": "East US 2", "RESOURCE_GROUP": "graph_rag2" } ``` May I...