Home > Workload Solutions > Data Analytics > White Papers > Multimodal RAG Chatbot Powered by Dell Data Lakehouse > 1. Data Ingestion
The first step involves ingesting various types of data, including text, images, audio, and video. This data is collected from multiple sources and is prepared for processing.
In the data ingestion phase, diverse data types such as text, images, audio, and video are collected and prepared for processing. The Dell Data Lakehouse efficiently handles this by storing structured data in open table formats, semi-structured data with schema-on-read capabilities, and unstructured data in its native formats. The DDAE enhances this process by providing Data Definition Language (DDL) schemas for all federated data sources and tables hosted on the Dell Data Lakehouse. It also offers historical SQL queries, sample queries with business logic, documentation of tabular datasets, SQL business logic for reports and dashboards, and details of all data and ETL pipelines. These data points are crucial for the LLM to construct accurate SQL queries and retrieve tabular data from the DDAE. The key benefits include a unified storage solution that simplifies data management, efficient querying across varied data types, and scalability to handle large volumes of data.