NVIDIA / NVIDIA/GenerativeAIExamples
ERROR:example:Failed to ingest document due to exception Unable to get page count.
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描述
Followed the instructions from the README and started the example from GenerativeAIExamples/RAG/examples/basic_rag/langchain.
The docker logs of chain-server:
INFO: Started server process [1]
INFO: Waiting for application startup.
INFO:faiss.loader:Loading faiss with AVX2 support.
INFO:faiss.loader:Successfully loaded faiss with AVX2 support.
INFO:RAG.src.chain_server.utils:Using nvidia-ai-endpoints as model engine and nvidia/nv-embedqa-e5-v5 and model for embeddings
INFO:RAG.src.chain_server.utils:Using embedding model nvidia/nv-embedqa-e5-v5 hosted at api catalog
INFO:RAG.src.chain_server.utils:Using milvus collection: nvidia_api_catalog
INFO:RAG.src.chain_server.utils:Vector store created and saved.
INFO: Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:8081 (Press CTRL+C to quit)
INFO: 172.18.0.6:48730 - "GET /documents HTTP/1.1" 200 OK
INFO: 172.18.0.6:40180 - "GET /documents HTTP/1.1" 200 OK
INFO: 172.18.0.6:60014 - "GET /documents HTTP/1.1" 200 OK
INFO: 172.18.0.6:60800 - "GET /documents HTTP/1.1" 200 OK
INFO:pikepdf._core:pikepdf C++ to Python logger bridge initialized
ERROR:example:Failed to ingest document due to exception Unable to get page count. Is poppler installed and in PATH?
ERROR:RAG.src.chain_server.server:Error from POST /documents endpoint. Ingestion of file: /tmp/gradio/b3131f976d42f2c5b2cab5027eeaabec73658e1423259694a7a7d107b65be0bd/test.pdf failed with error: Failed to upload document. Please upload an unstructured text document.
INFO: 172.18.0.6:60810 - "GET /documents HTTP/1.1" 200 OK
INFO: 172.18.0.6:60804 - "POST /documents HTTP/1.1" 500 Internal Server Error
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调研方向
从 README 中的说明和 GenerativeAIExamples/RAG/examples/basic_rag/langchain 中的示例开始,然后根据报告的日志追踪 chain-server 的文档摄取路径。检查该示例如何处理页数错误背后的 PDF 依赖;完成标准是该示例能够摄取上传的 PDF,且不会返回 500 响应。
由索引模型根据 Issue 内容生成。
评估
- 技术栈
- docker, python
- 领域
- ai, backend
- Issue 类型
- 缺陷
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- 3/5
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- 1-2 天
- 活跃度
- 停滞
- 描述清晰度
- 需要澄清
- 新手友好度
- 30/100