Document Structuring for AI Agents
Stop dumping raw text into your LLM. Start feeding it Structured Intelligence.
> Structure Your Documents for Reliable AI Agents
> From "Data Dump" to "Structured Truth" in 3 Steps
> A Knowledge Base You Can Actually Manage
> The "Smart Folder" Architecture
> Visual Intelligence: Turning Images into Tools
Structure Your Documents for Reliable AI Agents
Most RAG systems rely on a lazy strategy: they take every available document—including redundant, outdated, or outright contradictory versions—and blindly shove them all into a Vector Database. While this approach is great for a quick Proof of Concept (POC), it fails catastrophically in production when your agent retrieves conflicting data and can't distinguish the 2023 policy from the 2025 update. AgentBrains changes that. We automatically Parse, Scrape, and Structure your raw documents, filtering out the noise and organizing everything into a single, coherent Knowledge Base that ensures your agent always has the one true answer.
From "Data Dump" to "Structured Truth" in 3 Steps
We handle the heavy lifting of data engineering so you can focus on building agents.
Ingest & Standardize to Markdown
Upload PDFs, Word docs, Spreadsheets, or paste URL lists. We strip away the noise—HTML clutter, navigation bars, and erratic formatting—and convert every input into clean, standardized Markdown. By normalizing your data into the native language of LLMs, we ensure optimal readability and comprehension for your agents.
Conflict Resolution & De-Duplication
A reliable agent needs a single source of truth. Instead of stacking contradictory documents, our system identifies redundant or conflicting information during the structuring process. We help you merge duplicates and resolve discrepancies, ensuring your agent never gets confused by outdated pricing or legacy policy versions.
- Example:Instead of img_004.jpg, we label it: "Side Profile - XXX Tennis racket, SKU: XXXTen1010."
Transparent Management
You are always in control. All extracted images are stored in a visible gallery within your Knowledge Base.
- Example: Instead of img_004.jpg, we label it: "Side Profile - XXX Tennis racket, SKU: XXXTen1010."
A Knowledge Base You Can Actually Manage
Organized for Agents. Editable by Humans.
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The "Smart Folder" Architecture
Your data shouldn't float in a void. We structure your ingested data into clear Categories and Sub-categories (e.g., Product Information > Thermal Imaging > Night Vision).
Easy to Locate
Find the exact source of an agent's answer in seconds.
Human-Editabl
Spot a typo or an outdated price in the parsed data? Edit the core entry directly in the Knowledge Base. Easily updating your agent in the process.
Access Control
Agents only access the folders you grant them permissions for, keeping "Business Strategy" separate from "Customer Support."
Visual Intelligence: Turning Images into Tools
Text is only half the story. Our parsing engine identifies, extracts, and labels images found within your documents and web pages.
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Contextual Labeling
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Contextual Labeling
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Visual Tooling
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Visual Tooling
Give Your Agents a Better Brain
Garbage in, garbage out. Switch to AgentBrains and give your AI workforce the structured, organized, and visual knowledge they need to succeed in production.
