Chat with your email history using Telegram, Mistral and Pgvector for RAG
Who is this for? Everyone! Did you dream of asking an AI "what hotel did I stay in for holidays last summer?" or "what were my marks last semester like?". Dream no more, as [vector similarity searches](https://www.pin...
Template notes
Who is this for?
Everyone! Did you dream of asking an AI "what hotel did I stay in for holidays last summer?" or "what were my marks last semester like?".
Dream no more, as [vector similarity searches](https://www.pinecone.io/learn/vector-embeddings/) and this workflow are the foundations to make it possible (as long as the information appears in your e-mails ๐ ).
100% Local and Open Source!
This workflow is designed to use locally-hosted open source. Ollama as LLM provider, nomic-embed-text as the embeddings model, and pgvector as the vector database engine, on top of Postgres.
Structured AND Vectorized
This workflow combines structured and semantic search on your e-mail.
No need for enterprise setups! Leverage the convenience of n8n and open source to get a bleeding edge solution.