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RugBrain Installation 🟡 Beta

Requirements​

  • Qdrant (Docker: qdrant/qdrant:latest, port 6333)
  • Embedding endpoint — any OpenAI-compatible server (local llama.cpp works)

Setup​

git clone https://git.rugmunch.io/RugMunchMedia/rugbrain.git
cd rugbrain
python3 -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"

export QDRANT_URL=http://localhost:6333
export EMBED_URL=http://localhost:8010/v1     # local model gateway
rugbrain init                                  # create collections
rugbrain ingest ./corpus                       # embed + index markdown/code corpus

Query​

rugbrain query "reentrancy guard patterns in solidity" --top 5

Relevance-scored chunks return with source attribution for every hit.