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AI Agent · RAG over enterprise documentation

ChatRAG

A conversational assistant that answers questions about a company's internal documentation (resumes, candidate history, training spend, expenses) with verifiable citations for strategic decisions. Official landing page with live demo.

Main image · ChatRAG
About the project

ChatRAG

A conversational assistant that answers questions about a company's internal documentation (resumes, candidate history, training spend, expenses) with verifiable citations for strategic decisions. Official landing page with live demo.

The challenge

What needed to be solved

A company's critical information lives scattered across PDFs, spreadsheets and internal documents. Finding a reliable answer takes minutes or hours, and a generic AI assistant doesn't know those documents or where to cite each fact from.

The approach

How we tackled it

We designed a local-first conversational assistant built on retrieval-augmented generation (RAG): it indexes the company's real documentation and answers by citing the exact fragment each claim comes from, instead of generating plausible text with no backing. Instead of a single generic bot, ChatRAG runs on 8 department-specialized agents (Supervisor, Management, HR, Finance, Logistics, Marketing, Legal and Tech), each with access limited to its own area's documentation.

What was built

System components

Indexing and vectorization of internal documents (resumes, candidate history, training spend, expenses)

Retrieval-augmented (RAG) engine with verifiable citations per answer

8 department-specialized agents with role-based segmented access (RBAC)

A Supervisor agent that orchestrates and routes to the right specialist

Per-agent tools: financial calculator, contract and certificate PDF generation, dispatch guides, report export

Safety switches to disable internet access or code execution in deployments with sensitive data

Conversational interface for executive queries

Official landing page with interactive demo

Current status

Landing page and interactive demo live in production, available at /proyectos/chatrag.

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