Indexing Pipeline

The indexing pipeline is the offline or near-real-time process that ingests raw documents, chunks them, embeds each chunk, and writes the resulting vectors and metadata into the document store. Pipeline steps typically include document loading, format normalization, chunking, optional enrichment (such as adding summaries or extracting entities), embedding, and upsert into the vector index. The quality of every downstream retrieval depends heavily on how well the indexing pipeline is designed.