Chatbot for Q&A on PDFs with vector search in Pinecone

This automation allows uploading PDF documents and answering questions based on their content via chat. Data is stored in the Pinecone vector database, enabling accurate semantic search and context-aware responses. Built in n8n with LangChain, OpenAI, and Cohere reranking.

## Who it´s for
- Companies needing automated support based on documentation
- Educational platforms with extensive learning materials
- Legal and consulting firms managing internal knowledge bases

## What the automation does
- Accepts PDF files via form and splits them into chunks
- Generates embeddings using OpenAI and stores data in Pinecone
- On receiving a chat message, triggers an AI agent to retrieve relevant content
- Applies Cohere’s reranker to improve result relevance
- Generates and sends natural language responses to users

## What´s included
- Ready-to-use n8n workflow
- Trigger logic for form submission and incoming chat messages
- Integrations with Pinecone, OpenAI, Cohere, and LangChain
- Basic text guide for setup and adaptation

## Requirements for setup
- n8n account (cloud or self-hosted)
- API keys from OpenAI, Cohere, and Pinecone
- Access to a PDF upload form and chat interface

## Benefits and outcomes
- Instant access to information from large documents without manual search
- Reduced support load through autonomous query handling
- Context-aware answers to complex documentation questions
- Scalable solution for internal knowledge bases and customer support

## 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.