Chatbot for Q&A over PDFs using vector search and local

This workflow enables conversational question-answering over uploaded PDF documents using semantic search in a vector database. Answers are generated strictly from the document content — no general AI knowledge is used. Ideal for internal docs, contracts, reports, and presentations.

## Who it´s for
- Support agents using internal documentation to answer client queries
- Legal professionals handling large volumes of contracts and regulations
- Consultants needing fast information extraction from reports and presentations

## What the automation does
- Accepts PDF files via an n8n form
- Splits documents into chunks using RecursiveTextSplitter
- Generates embeddings via a local Ollama service and stores them in Qdrant
- On receiving a chat message, triggers a LangChain RAG agent to retrieve relevant context
- Generates accurate answers based on matched document fragments
- Enables contextual, document-grounded conversations

## What´s included
- Ready-to-use n8n workflow
- Trigger logic for form submissions and chat messages
- Integrations with Local Ollama, Qdrant, n8n form and chat interfaces
- Basic text guide for setup and adaptation

## Requirements for setup
- Access to a local or remote Ollama instance
- Running and configured Qdrant vector database
- n8n instance with external API access
- API keys and service URLs for integration

## Benefits and outcomes
- Fast access to document content without re-reading entire files
- High answer accuracy grounded in actual document data
- Automates repetitive lookup tasks in contracts, manuals, reports
- Uses local LLMs — no data sent to third-party clouds
- Scalable: new documents can be added anytime

## 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.