Engineering Logs for Troubleshooting & Debugging
Problem – RAG inference fails because the prompt template is malformed In a distributed micro‑services deployment the Retrieval‑Augmented Generation (RAG) service invokes an ONNX Runtime sidecar via gRPC. The sidecar builds a prompt by substituting variables (e.g., {{question}}, {{context}}) into a JSON‑encoded template before feeding the concatenated string to a transformer model. Symptoms observed in … Read more
Problem – HybridSearch Scoring Inconsistencies on GPU In a development sandbox (Ubuntu 22.04, NVIDIA A10G, ONNX Runtime 1.18, PyTorch backend) a BERT‑based reranker that uses the HybridSearch operator returns different top‑k results when the model is executed on the CPU (FP32) versus the GPU (FP16 mixed‑precision). Typical symptoms include: Top‑5 candidate order differs by up to three positions. … Read more
Problem – Empty Retrieval Results in a Development Sandbox Using ONNX Runtime for RAG In a sandbox environment the Retrieval‑Augmented Generation (RAG) pipeline is wired to an ONNX Runtime session that hosts a converted MiniLM‑v2 embedding model. When a user query is sent to the retriever the downstream FAISS (or similar) vector store returns an … Read more
Problem Description When running inference inside an ONNX Runtime Docker container the following error is observed: ONNXRuntimeException: Unable to download model from URL https://example.com/model.onnx – Connection timed out or, when using the Remote Execution Provider: grpc call failed: deadline exceeded – RemoteExecutionProvider initialization failed Typical impact includes: Model loading hangs for the configured timeout (default … Read more
ONNX Runtime RAG Reranker Timeout on Premises Server Problem Description The RAG (Retrieval‑Augmented Generation) pipeline uses an ONNX Runtime reranker model to score retrieved documents before generation. In a private data‑center deployment with limited CPU cores and memory, the reranker frequently exceeds the configured inference timeout during peak query load, returning errors such as: Error: … Read more
Problem – RAG Reranker Timeout During Inference Serving The Retrieval‑Augmented Generation (RAG) pipeline is deployed on a production inference service that uses ONNX Runtime for low‑latency model execution. Under moderate request load the reranker stage fails to finish within the allocated time budget, causing the entire request to time‑out. Typical symptoms observed in logs: Ort::Exception: … Read more
Problem Description During high‑throughput batch inference the ONNX Runtime throws an exception similar to: Ort::Exception: Failed to rebuild model index: InvalidArgument – Model index is corrupted. or RuntimeError: Unable to rebuild model index after session reset – possible concurrent modification. The failure occurs after the first batch finishes and subsequent batches either produce incorrect results … Read more
Problem Description After a rolling update of the ONNX Runtime (ORT) library in a production Retrieval‑Augmented Generation (RAG) service, the retrieval component consistently returns empty result sets. The symptom manifests as: Search logs contain INFO: Retrieval returned 0 results – query embedding norm is 0.0, check model initialization. Embedding generation logs sometimes show WARN: Embedding … Read more
Problem – ONNX Runtime Inference Fails After CI/CD Deployment During a routine CI/CD rollout, newly built ONNX model containers are deployed to a Kubernetes cluster. After the deployment completes, API calls that should hit the onnx-runtime service return HTTP 502/504 errors and the ONNX Runtime logs show Failed to load model: file not found. The … Read more