Upload PDF/CSV via web form, ask in chat — AI answers b

This workflow automates document-based Q&A by letting users upload files (PDF, CSV) via a web form and get AI-generated answers through chat. Built on n8n with LangChain, OpenAI, and RAG, it eliminates manual searching and enables instant access to structured and unstructured data.

## Who it´s for
- Professionals working with dense documentation needing fast information retrieval
- Support teams automating responses using internal manuals
- Developers deploying RAG solutions without coding
- Managers analyzing CSV/PDF data interactively

## What the automation does
- On form submission, processes uploaded PDF or CSV files
- Extracts text/data and converts it into embeddings using OpenAI
- Stores embeddings in an in-memory vector database
- Triggers an AI agent on receiving a chat message
- Agent retrieves context via RAG and generates natural-language answers
- Returns response directly to the user in chat

## What´s included
- Ready-to-use n8n workflow with LangChain nodes
- Trigger logic for form_submit and chat_message_received
- Integrations with Web Form, OpenAI, and In-Memory Vector Store
- Basic setup and adaptation guide

## Requirements for setup
- n8n instance with LangChain node support
- OpenAI API key
- Configured web form for file uploads
- Chat interface endpoint to receive and send messages

## Benefits and outcomes
- 5–10x faster access to document-based information
- Reduced support load via self-service querying
- Interactive analysis of structured data (CSV) without spreadsheets
- Lower risk of misinterpreting technical documentation
- Zero-code access for non-technical users
- Full independence from external knowledge bases

## 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 Telegram: @gleb923.