All work
AI Agents · 2026

GopherNotebook

Source-grounded RAG workspaces powered by blazingly fast Golang and local AI infrastructure.

Overview

GopherNotebook is an open-source, commercial-grade document intelligence platform that keeps embeddings and searches 100% local, utilizing Weaviate and state-of-the-art Qwen3 local models to guarantee zero data leakage. It features a blazing fast Golang backend, a Next.js 14+ frontend with local storage persistence, and a true two-stage Retrieval-Augmented Generation (RAG) architecture. It combines dense vector matching with BM25 keyword search, allows bringing your own LLM (BYOK), provides granular citations, and isolates workspaces into 'Notebooks'.

What it does

  • 100% local · zero data leak
  • BM25 + dense hybrid
  • BYOK

Architecture

Golang
Weaviate
Next.js
RAG

Stack

GolangWeaviateNext.jsRAG