1. Install and set up
pip install "ragrails[url,voyage,qdrant]"
docker run -p 6333:6333 qdrant/qdrant
from ragrails import RagRails
rag = RagRails()
rag.setup_url() # one-time browser install
2. Ingest, chunk, embed, and store
result = rag.ingest(
urls="https://example.com",
ingestion={"mode": "full", "max_depth": 3, "max_pages": 200},
embedding={"provider": "voyage", "model": "voyage-3"},
storage={"vector_db": "qdrant", "collection": "website", "url": "http://localhost:6333"},
)
print(f"Stored {result.stored} chunks from {result.sources} pages")
3. Query
result = rag.query(
"What does the site say about pricing?",
embedding={"provider": "voyage", "model": "voyage-3"},
retrieval={"vector_db": "qdrant", "collection": "website", "url": "http://localhost:6333", "top_k": 5},
)
for chunk in result.items:
print(chunk.text[:200])

