Redis RAG context injection failure after serialization error in pipeline
Problem – Missing or Corrupted RAG Context after Pipeline Serialization During the nightly data pipeline that populates a Redis vector store for Retrieval‑Augmented Generation (RAG), the downstream language‑model inference service receives prompts that lack the expected retrieved documents. The prompts contain empty context fields or truncated JSON blobs, resulting in hallucinations or incomplete answers. Typical … Read more