ingest

Automate raw data extraction into a structured knowledge base by executing scripts that scan markdown, PDF, and text files from a raw directory, extracting key information to create and update interconnected entity and concept pages.

Integrate PDF research papers into a wiki system by placing them in the raw directory and running the ingestion process, which automatically extracts information and incorporates it into structured source pages.

Process individual markdown files by specifying a particular file path during the ingestion command, allowing targeted updates rather than scanning and processing all unprocessed files in the raw directory.

Automated knowledge base ingestion supports text and markdown formats alongside PDF, utilizing script-based processing to categorize extracted information and maintain consistency across the wiki.

Structured information extraction maintains consistency across newly added research articles by creating and updating interconnected entity, concept, and source pages based on categorized data extracted from the raw files.

Raw data files fail to update the structured knowledge base if they are not placed in the designated raw directory or if the file format is unsupported, as the ingestion process specifically scans for markdown, PDF, and text documents.