Ingestion is the process of bringing external data into an AI system, preparing it for indexing, retrieval, and use in analysis or generation. This may include extracting content from files, APIs, or databases, cleaning and structuring it, and storing it in a way the AI can use. Effective ingestion pipelines are essential for maintaining accuracy and freshness of AI outputs, particularly in enterprise environments where data changes frequently.
