[Tutorial] Efficient RAG Pipelines with Qdrant on Upsun 🧠

Context stuffing is a massive drain on resources and increases your cost per query. It is a messy way to handle large datasets when you need fast and relevant answers.

Vector search with Qdrant offers a more technical and cost effective alternative. By building a proper retrieval pipeline, you can get better results without the overhead. Here is what this workflow covers:

• Moving from context stuffing to vector search for 25x lower costs
• Implementing chunking strategies that actually work for your data
• Setting up embedding scripts and retrieval logic
• Using a debug panel for local testing and deployment

Check out the full technical write-up to see how to deploy this pipeline on Upsun:

Building a RAG pipeline with Qdrant on Upsun - Upsun Developer

Replace context stuffing with vector search using Qdrant for 25x lower cost per query.

developer.upsun.com