Scaling up RAG with Vector Databases using JavaScript

Build and query a vector database for RAG: preprocess documents, store chunk embeddings in ChromaDB, retrieve relevant chunks with metadata filters and weighting, craft multi-chunk prompts, manage collection updates, and scale ingestion with batch strategies.