Engineering Logs for Troubleshooting & Debugging
Problem – Empty Retrieval Sets After Tightening RAG Metadata Filters In a hybrid‑cloud RAG pipeline, the vector store is a FAISS index replicated from an on‑premises cluster to public‑cloud endpoints. After a recent rollout that added stricter boolean filters on the region, category, and source_id metadata fields, a growing number of queries returned zero results … Read more
Problem Description – Empty Retrieval Results on A100/H100 GPU Cluster When executing a Retrieval‑Augmented Generation (RAG) pipeline on a multi‑node GPU cluster (A100/H100), the RAGRetriever consistently returns an empty document list despite: Valid natural‑language queries. A fully populated FAISS index built from the knowledge base. Successful generation of query embeddings on the GPU. Typical log … Read more
Problem – RAG retrieval returns empty results behind HAProxy in CI/CD pipelines During automated end‑to‑end tests a Retrieval‑Augmented Generation (RAG) service intermittently returns no documents. The symptom is observed only when the request traverses an HAProxy instance that load‑balances traffic across several identical backend replicas. Typical error messages: HAProxy log entry: <…> 0/0/0/30/30 504 0 … 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 – Retrieval Dominance After a Rolling Update A production Mistral AI Retrieval‑Augmented Generation (RAG) pipeline uses a hybrid search that combines: Vector‑based retrieval (weight = retrieval_weight) Transformer‑based reranking (weight = rerank_weight) During a rolling update that introduces a new reranker model version, operators observed: Hybrid search results suddenly favor raw retrieval scores. Relevance metrics dropped 30‑45 % (see … Read more
Problem Description – Retrieval Dominance in Qwen RAG API Multiple tenants of a cloud‑managed Qwen service reported that responses from the Retrieval‑Augmented Generation (RAG) endpoint were dominated by verbatim excerpts from the vector store. Typical symptoms included: Generated answers consisting of 70‑90% copied document passages. Redundant citation blocks appearing in every response. Truncated answers where … Read more
Problem Description During automated integration tests executed in a CI/CD pipeline, a Prometheus instance that is configured for Retrieval‑Augmented Generation (RAG) consistently returns empty result vectors. The same pipeline runs successfully on a developer’s workstation, but in the pipeline the query endpoint responds with messages such as: retrieval returned empty vector no data found for … 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 Description In a hybrid‑cloud deployment of a Retrieval‑Augmented Generation (RAG) pipeline that uses vLLM for inference, the retrieval step consistently returns an empty list or null despite: Valid user queries arriving at the API endpoint. Document embeddings successfully indexed in the vector store (e.g., Milvus or Pinecone). No errors reported by the vLLM server … Read more
Problem – Retrieval‑Augmented Generation (RAG) Returns Empty or Incomplete Answers in Batch Jobs In a production batch pipeline, dozens to thousands of queries are sent to Elasticsearch via the _msearch API. The retrieval component successfully runs, but the generation stage receives either an empty context field or a truncated list of documents. Consequently the final … Read more