Building a Production RAG Pipeline with LlamaIndex and Pinecone

Building a production-ready RAG pipeline with LlamaIndex and Pinecone requires addressing infrastructure and data pipeline issues. A production RAG system must reliably answer questions at scale with fresh data and for the right users. Engineers should focus on document processing and query processing, as these steps often cause outages. LlamaIndex can handle document ingestion, chunking, and metadata management, making it easier to build a production-ready pipeline. The production version adds Pinecone as the storage backend and metadata.