Browse incidents, troubleshooting guides, AI diagnostics, verified fixes and community discussions related to Embeddings.
## 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 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...