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Incoming emails turned into a searchable knowledge base.

Email-to-RAG SaaS

Role

Développeur Full-Stack solo

Year

2026

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Overview

Briefly turns incoming emails into a chat-searchable knowledge base, with weekly digests and semantic search over history.

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The Problem

Finding reliable information buried in months of emails took forever, with no synthesized view.

The Solution

Built an async ingestion pipeline (Postmark webhooks, BullMQ, Hugging Face embeddings) into Supabase/pgvector, with RAG chat (Groq / Llama 3.3 70B) and JWT auth with token refresh.

Results & Key points

  • Async email ingestion via BullMQ + Hugging Face embeddings
  • Semantic search and RAG chat over pgvector
  • Automated weekly digests

Tech Stack

Frontend
    Next.js 14Zustand
Backend
    NestJSSupabasePostgreSQL + pgvectorBullMQ
AI & Tools
    Groq / Llama 3.3 70BHugging FacePostmark webhooksJWT

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