retrieval

Prometheus RAG retrieval empty results in CI/CD pipeline

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angel statue on brown wooden floor

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

ONNX Runtime RAG retrieval empty results after rolling update

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black ImgIX server system

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

RAG retrieval empty results with vLLM in hybrid cloud

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A ribbon with gradient colors floats in the air.

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

Elasticsearch RAG retrieval component not mapping documents to answers

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photo of computer cables

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