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## Environment Self-hosted vector database cluster (disk-backed segment storage), production RAG pipeline uses periodic incremental update jobs that embed new documents and merge segments in background. Incremental job was interrupted by an OOM in i...
## Environment Self-hosted vector DB (FAISS on disk with custom metadata mapping layer) behind a microservice written in Python 3.10; nightly incremental indexer runs: re-embed changed documents and upsert to FAISS; embedding model is served via loc...
## Environment Self-hosted vector index (open-source vector DB v0.9) with 1.4M documents, embeddings produced by local sentence-transformer model v1.2. Incremental index updates performed nightly using a Python ETL that upserts new embeddings and pe...
## Environment Production RAG service: embedding model OpenAI text-embedding-3-small, vector DB: self-hosted Milvus, chunking pipeline produces 1–2 KB passages with metadata, retriever uses cosine similarity and returns top 10 hits; downstream LLM (...
## Environment LangGraph agent with search and ticket-creation tools. ## What happens When search returns no results, the agent invokes the identical query until the execution limit is reached. ## What I have tried Added a prompt instructing the...
## Environment Text classifier trained on historical support tickets and deployed behind an API. ## What happens Validation accuracy is 94%, but recent tickets are frequently assigned to the wrong queue. ## What I have tried Retrained with a dif...
## Environment Quantized 13B model running on a 12 GB GPU with a growing chat context. ## What happens Generation starts near 25 tokens per second and falls below 3 after many messages. ## What I have tried Restarted the UI and changed temperatu...
## Environment Support assistant using OpenAI embeddings, PostgreSQL vector search and five retrieved chunks. ## What happens Answers sound plausible but references point to unrelated policy sections. ## What I have tried Increased the number of...