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n8n templateFreeBy Alfonso Corretti

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...

CommunicationHITLDevelopmentCore NodesAILangchainTelegram TriggerSplit In Batches
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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 ๐Ÿ˜…).

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.