rag

Nginx routing to old embedding model causing RAG retrieval mismatch

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Problem Description In a cloud‑managed deployment the Retrieval‑Augmented Generation (RAG) service began returning unrelated documents. The downstream application logged an “Embedding dimension mismatch” error and occasional 502 Bad Gateway responses such as: 2024/09/20 12:34:56 [error] 27#27: *1023 upstream prematurely closed connection while reading response header from upstream, client: 10.2.3.45, server: rag-api.example.com, request: “POST /embed HTTP/1.1”, … Read more

RAG document loader segmentation fault on GCP Compute during large batch ingestion

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Problem Description The Retrieval‑Augmented Generation (RAG) service runs on Google Cloud Compute Engine VMs and on‑premises servers. During large‑batch ingestion of PDF documents the loader process crashes repeatedly, emitting a segmentation fault and terminating the Python worker. Typical console output on the affected VM: Segmentation fault (core dumped) System logs also contain: [ 123.456789] libc … Read more

Grafana panel duplicate data after RAG chunk overlap in A/B test

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Problem: Grafana panels show duplicated or missing data during A/B testing of dashboard versions During a staged rollout of two dashboard variants (A and B) using Grafana’s feature‑flag based A/B testing, operators observed the following symptoms: Prometheus‑based time‑series panels display each metric twice, inflating KPI values by ~100%. Loki log panels contain duplicate log entries … Read more

RAG pipeline returns empty retrieval results on AWS EC2 local dev

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Problem: RAG pipeline returns empty retrieval results on an AWS EC2 instance (local development) During local development on an EC2 t3.medium (Ubuntu 22.04) the LangChain retrieval‑augmented generation (RAG) pipeline executes without errors but always yields the log message “No documents found”. The same code runs correctly on a developer laptop. Typical symptom in the application … Read more

vLLM RAG reranker timeout during multi-GPU training

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Problem Description During multi‑GPU training of a Retrieval‑Augmented Generation (RAG) pipeline that uses vLLM as the inference engine, the reranker stage consistently fails with a timeout error. The failure manifests as: vLLMEngineError: Reranker request timed out after 30000 ms Typical impact includes: RAG queries stall after the retrieval step, causing end‑to‑end latency spikes (> 30 s). Partial … Read more

PostgreSQL RAG chunk overlap causing duplicate fragments after event trigger

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Problem – Duplicate Fragments from Overlapping Chunk Inserts In an event‑driven Retrieval‑Augmented Generation (RAG) pipeline, incoming documents are split into overlapping text windows (chunks) and each chunk is stored as a vector in PostgreSQL using the pgvector extension. After a recent deployment, retrieval queries began returning multiple identical fragments, inflating similarity scores and producing noisy … Read more

RAG pipeline empty retrieval after Docker container restart in Kubernetes

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Problem – RAG pipeline returns empty retrieval after Docker container restart in Kubernetes Symptom: After a pod restart (e.g., rolling update, node‑drain, or container crash) the Retrieval‑Augmented Generation (RAG) service answers every query with No documents retrieved or an empty list, even though the knowledge base was populated before the restart. Typical log excerpt: 2024-09-15 … Read more

ChromaDB RAG query decomposition error during multi‑GPU training

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Problem – RAG query decomposition failures in a multi‑GPU training pipeline When scaling a Retrieval‑Augmented Generation (RAG) workflow to multiple GPUs, engineers observed that chroma_client.query calls intermittently returned malformed or empty sub‑queries. The downstream LLM received no context, leading to generation failures or hallucinations. Typical error messages included: ValueError: Query decomposition returned an empty list … Read more

RAG answer extraction empty after model evaluation in Kubernetes

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Problem Description During automated model evaluation runs in a CI/CD pipeline on a Kubernetes cluster, the Retrieval‑Augmented Generation (RAG) microservice returns an answer field that is either empty or malformed. The API response typically looks like: { “question”: “What is the capital of France?”, “answer”: “” } Typical log excerpts from the RAG pod include: … Read more

RAG decomposition service throws DecompositionFailedException on complex queries

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Problem: DecompositionFailedException in RAG Query Decomposition Service The RAG decomposition microservice consumes user queries from the rag.requests exchange, splits them into sub‑queries, and republishes each sub‑query to topic queues such as rag.subqueries.*. When a complex query (e.g., nested JSON, multi‑entity request, or very long prompt) is processed, the service throws DecompositionFailedException. The exception propagates, the … Read more