Document Answer Genie

The Goal

Find exactly what you need—fast. This tool lets your team ask simple questions and instantly get accurate answers from all your company’s documents, no more hunting through piles of PDFs and reports.

Agentic Ai in Action:

The Challenge:

Critical business knowledge is often locked inside PDF files, making it impossible to search easily. Finding an exact detail in a 50-page document is slow, and team members often give up, leading to wrong answers or delays in customer service.

Bookshelves filled with numerous books behind a table with more books stacked on top.

What does it solve?

Important company info is often stuck in long documents, making it slow and frustrating to find the right details. This slows down service and puts decisions on hold.

Step	Business Function	What It Does (The Benefit)
1 The Digital Scanner	PDF Processing & Text Extraction	Documents are automatically uploaded and scanned. The system uses a special AI (Mistral) to read the text from images and pages, pulling out every single word. It converts pictures into searchable text.
2 The Smart Filer	Deep Storage and Indexing	The extracted text is turned into a "smart memory" file. These files are stored in a specialized database where the system can instantly find things based on meaning, not just keywords. It stores knowledge for instant recall.
3 The Answer Engine	Question-Answering with RAG	When someone asks a question, the system finds the relevant text chunks from the database and gives them to a powerful AI (Gemini). This AI then writes a clear answer that is guaranteed to be based only on the facts in your PDFs. It delivers accurate, sourced answers.
4 The Optimizer (Optional)	Performance and Size Control	You can choose a "light mode" where the AI summarizes each page before storing it. This makes the system faster and cheaper for documents that don't need every detail saved. It helps control costs and speed.

The 4 Steps of this Ai Workflow

The Instant Document Finder

Screenshot of a digital workflow diagram for a PDF document OCR system with Mistral OCR, Qdrant, and Gemini AI, featuring colored sections and various process icons.

Flowchart showing steps for creating a document collection using Qdrant and Google Drive with nodes labeled 'Create collection' and 'Refresh collection'.

Workflow diagram showing steps for PDF processing and OCR, including getting a PDF, uploading to Mistral, signing URL, and OCR, with icons for workflow triggers, Google Drive, web, and document scanning.

Screenshot of a workflow diagram for an OCR system with various steps including OCR OCR, code processing, looping over items, and setting pages, with blocks for summarization and embeddings.

Flowchart showing steps for processing and summarizing a document using various AI and data tools, including model setup, looping through items, setting pages, and embedding content, with categories like code, data loader, wait, and splitters.

Flowchart of a chatbot system with steps for processing messages, retrieving information from Google Gemini and Vector Store, and testing the RAG system.

Office workspace with diverse group of people working at desks with laptops and plants, under ceiling lights.

How does it help?

Reduces research time by up to 95%, freeing staff to work on what really matters*

Gives answers that are 100% based on official company documents—no guessing or errors
Automatically reads and organizes your document library without any manual effort
Works 24/7 as your company’s reliable expert on everything in your files

With “Document Answer Genie,” your team can quickly find precise, trustworthy information whenever they need it, speeding up responses and decisions.

*Efficiency Gain: If research takes 20 minutes manually, the AI answers in 1 minute (95% reduction). The 100% accuracy is the core promise of RAG technology: grounding answers strictly in the provided documents.

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