rag

Gemini RAG pipeline connection timeout to vector store after autoscaling

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Problem: Gemini RAG pipeline cannot connect to the vector store after autoscaling The Gemini Retrieval‑Augmented Generation (RAG) pipeline is deployed on a managed cloud service that scales compute instances automatically. After a scale‑out event, the pipeline consistently fails to retrieve documents from the configured managed vector store. The failure manifests as connection timeouts and, intermittently, … Read more

RabbitMQ RAG metadata filter dropping relevant docs after filter tweak

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Problem The Retrieval‑Augmented Generation (RAG) pipeline uses RabbitMQ to stream document metadata to a GPU‑accelerated inference service. After a recent change to the metadata filter, the pipeline began discarding documents that should have been included in the context set. The LLM responses became fragmented, missing critical facts, and the generation_quality_score metric dropped from 0.87 to … Read more

Haystack document retrieval failures after cloud storage API intermittent timeouts during peak traffic

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Problem During peak traffic periods the API gateway that fronts a Haystack‑based search service starts returning 504 Gateway Timeout, 502 Bad Gateway and occasional 429 Too Many Requests errors. The downstream Haystack document store logs show repeated failures when trying to fetch source documents from the cloud storage provider (e.g., AWS S3, GCP Cloud Storage, … Read more

RAG citation JSON‑LD missing fields after model version upgrade

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Problem: Malformed JSON‑LD Citations in RAG Responses after Model Version Upgrade The AI service running on Google Compute Engine (GCE) VMs generates Retrieval‑Augmented Generation (RAG) answers that include citations. After upgrading the underlying LLM from v1.2.0 to v1.3.0, the citation strings no longer conform to the required JSON‑LD schema. Missing fields (@type, url), stray delimiters, … Read more

Weaviate similarity query returns empty results during RAG inference

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Problem During Retrieval‑Augmented Generation (RAG) inference, the Weaviate NearVector similarity query returns an empty result set even though the target documents are present in the vector store. The downstream LLM receives no context, leading to hallucinations or generic answers. Root Cause The empty results stem from one or more of the following intertwined issues: Vector … Read more

RAG reranker timeout in LlamaIndex Docker container under load

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Problem During load testing and in production traffic spikes, the RAG reranker component of LlamaIndex running inside a Docker container consistently throws timeout errors. The failure manifests as: 2024-09-28 12:34:56,789 ERROR reranker – RerankerTimeoutError: Reranking request timed out after 30.0 seconds Traceback (most recent call last): File “/app/llama_index/reranker.py”, line 212, in rank response = self.client.post(payload, … Read more

Haystack RAG query decomposition runtime error under high concurrency

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Problem – RuntimeError in Haystack RAG Query Decomposition Under High Concurrency When a Haystack Retrieval‑Augmented Generation (RAG) pipeline receives a complex multi‑sentence query, the DecomposeQuery node spawns several sub‑queries that are sent to the retriever. Under load on a mixed NVIDIA A100/H100 GPU Kubernetes cluster, the pipeline aborts with a RuntimeError similar to: Traceback (most … Read more

RAG document loader segfault after Redis batch load during benchmark

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RAG Document Loader Segfault After Redis Batch Load During Benchmark Problem During a high‑throughput performance benchmark of a Retrieval‑Augmented Generation (RAG) pipeline, the document loader crashes with a segmentation fault (SIGSEGV) or an out‑of‑memory (OOM) kill. The failure occurs immediately after a bulk INSERT of thousands of documents into Redis, just before the first query‑time … Read more

Weaviate connection timeout during nightly RAG ingestion pipeline

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Problem – Nightly RAG Ingestion Fails with Weaviate Connection Timeouts The automated Retrieval‑Augmented Generation (RAG) pipeline runs every night to ingest fresh documents, generate embeddings, and store them in a Weaviate vector store. Since the last deployment, the pipeline aborts during the store_vectors step with repeated connection timeout errors and occasional authentication failures. No new … Read more

RAG pipeline returns empty results during rolling update in PyTorch

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Problem Description During a Kubernetes rolling update of a TorchServe‑hosted Retrieval‑Augmented Generation (RAG) service, the RAGRetriever began returning an empty list of documents for every query. The symptom manifested as log entries such as: INFO 2026-09-21 12:34:56,789 RAGRetriever: No documents retrieved for query ERROR 2026-09-21 12:34:57,102 faiss index not found at path /model/index.faiss WARNING 2026-09-21 … Read more