One-liner: FastAPI + React RAG app with PDF ingest, SentenceTransformers, FAISS/Chroma, JWT auth.
- Chunking + embeddings
- JWT auth
- Docker compose
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt || pip install -e .
python scripts/demo.py # minimal demo
# Docker (optional)
docker build -t llm-fullstack-rag-starter -f docker/Dockerfile .
docker run --gpus all -p 8000:8000 llm-fullstack-rag-starter- Hardware:
- Dataset:
- Results:
- Throughput: -
- Speedup vs baseline: -
- Accuracy/F1/Metric: -
llm-fullstack-rag-starter/
docs/
benchmarks/
docker/
scripts/
src/
tests/
.github/workflows/ci.yml
requirements.txt
LICENSE
- Reproducible env (requirements + fixed seeds)
- Logging: CSV / TensorBoard in benchmarks/
- MIT License