Use Case

RAG Applications

Build reliable RAG pipelines with ScaleMind. Cache embeddings, optimize retrieval costs, and ensure consistent performance.

Challenges

✗ Embedding API calls are expensive
✗ Same documents re-embedded repeatedly
✗ Retrieval latency impacts UX
✗ Hard to debug retrieval quality

How ScaleMind Helps

✓ Embedding caching
✓ Smart model routing by query complexity
✓ Full pipeline observability
✓ Cost attribution per document

Results

60% reduction in embedding costs

Faster retrieval with caching

Debug any retrieval in detail

Build rag applications with ScaleMind

Get started in minutes with our free tier.