1. Raw Data (The Scraps)
Your company's PDFs, employee handbooks, scattered emails, and unformatted
spreadsheets.
Analogy: Dropping a massive, unsorted pile of receipts, sticky notes, and ledgers
onto an accountant's desk.
→
2. Data Ingestion (The Translator)
The pipeline that reads the scraps, tags them with metadata, breaks them into
perfectly-sized semantic chunks, and extracts tables while keeping their shape.
Analogy: The accountant organizing the receipts by date, translating foreign
currencies, and entering them perfectly into a pristine Excel master file.
→
3. Vector Generation (The AI Brain)
The perfectly structured data is converted into numbers (embeddings) that an AI
model like ChatGPT or Gemini can instantly search and understand.
Analogy: The CEO asking the accountant a question, and the accountant instantly
locating the exact right cell in the master file to give a flawless answer.