Retrieval Pipeline

The end-to-end system that ingests documents, chunks them into passages, generates embeddings, stores them in a vector database, and retrieves relevant context at query time for RAG. A well-tuned retrieval pipeline determines agent answer quality: chunk size, overlap, embedding model choice, reranking, and metadata filtering all affect whether the agent finds the right information. Poor retrieval is the #1 cause of inaccurate agent responses.