Asset-Aware FAQs

Question 1

How does Asset-Aware integrate with AI Agent platforms?

Accepted Answer

Asset-Aware integrates with AI agent platforms like Copilot and Claude via its MCP Server. This server exposes a rich set of 40+ tools and resources, allowing AI agents to programmatically interact with documents, manage assets, edit DOCX files, build tables, and consult knowledge graphs.

Question 2

What is Asset-Aware and how does it help AI Agents?

Accepted Answer

Asset-Aware is a tool that empowers AI Agents to precisely access, understand, and interact with specific elements like tables, figures, and sections within PDF and DOCX documents. It solves the problem of AI's inability to 'see' images directly by retrieving assets (e.g., Base64 images) via MCP, enabling vision AI to understand content directly.

Question 3

What are A2T and LightRAG features in Asset-Aware?

Accepted Answer

A2T (Anything to Table) is a powerful suite of 7 tools for building professional tables from any source, complete with citations, audit trails, and schema evolution. LightRAG integrates a Knowledge Graph with a Vector Index, enabling cross-document comparison, reasoning, and richer context for AI agents.

Question 4

What document types and capabilities does Asset-Aware offer?

Accepted Answer

Asset-Aware supports both PDF and DOCX documents. For PDFs, it offers precise asset extraction (tables, figures, sections) using dual-engine parsing. For DOCX, it provides Docx-Flavored Markdown (DFM) for seamless round-trip editing, preserving formatting and media.

Question 5

Is Asset-Aware suitable for specific industries or research areas?

Accepted Answer

Yes, Asset-Aware is specifically optimized for medical literature and research. Its capabilities, such as precise asset retrieval, knowledge graph integration, and support for Vision AI analysis of images (via Base64 transmission), make it highly valuable for biomedical and scientific document processing.

Asset-Aware

Asset-Aware

Key Features

Use Cases

Key Features

Use Cases