Batch integration – document ingestion

The batch-processing portion of the document ingestion pipeline plays a crucial role in preparing the company’s content corpus for effective search and retrieval. This stage involves several steps to extract meaningful information and convert it into a format suitable for efficient querying and generation:

1. Data Extraction and Pre-processing: The first step is to extract textual data from various sources, such as databases, content management systems, or file repositories. This data may come in various formats (for example, HTML, PDF, Word documents), requiring pre-processing techniques like text extraction, deduplication, and normalization to clean and standardize the input data.
2. Metadata Extraction: Once the text data is preprocessed, advanced natural language processing techniques, such as named entity recognition (NER) and entity linking, can be applied. These tasks can be executed either from predictive AI models...