Chat with Email History via Telegram, Mistral & Pgvector RAG - n8n Workflow | Neura Market
Chat with Email History via Telegram, Mistral & Pgvector RAG
Query your email history naturally via Telegram using RAG for semantic search and SQL for structured queries on Pgvector/Postgres. Fully local, open-source with Ollama.
This n8n workflow transforms your email inbox into a conversational AI assistant. Users send natural language queries through Telegram, like 'What hotel did I stay in last summer?' or 'What were my semester grades?'. It leverages Retrieval-Augmented Generation (RAG) with vector similarity searches on embeddings stored in Pgvector, combined with structured SQL queries for precise results.
Built for privacy and cost-efficiency, it runs 100% locally using open-source tools: Ollama for LLM (Mistral
Platform
n8n
Category
Crypto & Blockchain
Price
$24.99
Creator
Matt Buds
RAG
Email Search
Telegram
Pgvector
Ollama
Mistral
Vector Database
Semantic Search
Postgres
AI Chatbot
How to import this workflow into n8n
1Purchase or download the workflow to get the n8n workflow JSON file.
2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
3Open each node marked with a credential warning and connect your own accounts and API keys.
4Run the workflow once manually to verify the data flow, then toggle it to Active.