# Chatbot for answering questions from PDFs using RAG, Ollama, and Qdrant
This automation enables a private chatbot that answers questions based on uploaded PDF documents. Built with RAG (Retrieval-Augmented Generation), it uses local Ollama and Qdrant services to deliver accurate semantic search without exposing data to public APIs. Ideal for handling sensitive or internal documentation securely.
## Who it´s for
- Professionals working with internal documents who need fast access to specific information.
- Support teams automating responses using technical or policy documentation.
- Developers building private chatbots without relying on public cloud-based LLMs.
## What the automation does
- Accepts PDF files via a form and extracts text using LangChain document loaders.
- Splits text into chunks and stores embeddings in a local Qdrant vector database via Ollama.
- On receiving a chat message, triggers a LangChain agent to perform semantic search over indexed content.
- Generates clear, context-based answers using the retrieved data.
- Supports dynamic updates to the knowledge base with new documents.
## What´s included
- Ready-to-use n8n workflow.
- Trigger logic for form submission and incoming chat messages.
- Integrations with Local Ollama service and Local QdrantApi database.
- Basic textual setup and adaptation guide.
## Requirements for setup
- Access to a running n8n instance (local or hosted).
- Active Ollama service with an embedding model and LLM loaded.
- Operational Qdrant instance (self-hosted or network-accessible).
- Form and chat interface connected via webhook or web UI.
## Benefits and outcomes
- Instant access to document content without reading full texts.
- Secure automation of responses using internal documentation.
- Scalable knowledge base supporting multiple PDFs.
- No dependency on external AI APIs.
- Faster response times for support and expert teams.
## 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 chat
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