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Briefly
Incoming emails turned into a searchable knowledge base.
Email-to-RAG SaaS
Role
Développeur Full-Stack solo
Year
2026
Overview
Briefly turns incoming emails into a chat-searchable knowledge base, with weekly digests and semantic search over history.
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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