Upload PDF or CSV and answer questions about content in

This workflow enables fast deployment of a document-based Q&A system without external database setup. Uploaded files are processed into vector embeddings and stored in-memory, allowing an AI agent to retrieve relevant information and generate accurate responses based on the document content.

## Who it´s for
- Support specialists using documentation to quickly answer customer queries
- Analysts working with CSV data and responding to ad-hoc requests
- Developers testing RAG solutions without setting up vector databases
- Educational platforms needing automated answers based on course materials

## What the automation does
- Accepts PDF and CSV files via a web form
- Converts content into vector embeddings using OpenAI
- Stores vectors in an in-memory vector store
- Triggers a LangChain RAG agent on incoming chat messages
- Retrieves context from uploaded documents and generates responses via GPT-4o-mini
- Enables natural language questioning over structured and unstructured data

## What´s included
- Ready-to-use n8n workflow
- Trigger logic for form_submit and chat_message_received
- Integrations with OpenAI, Web Form API, and n8n Chat Interface
- Document parsing and retrieval pipeline
- Basic setup and adaptation guide

## Requirements for setup
- Active n8n instance with workflow editor access
- OpenAI API key
- Web form endpoint that sends files and messages
- Familiarity with n8n and LangChain node configuration

## Benefits and outcomes
- Rapid knowledge base deployment without external DB
- Accurate answers derived directly from source documents
- Support for both text (PDF) and tabular (CSV) formats
- Low infrastructure overhead via in-memory storage
- Flexible use across documentation, reports, and training materials

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via в чате.