Workflow · 5 steps
The RAG stack that scales (ingest → embed → retrieve → rerank → generate)
Five-layer stack that actually works past 10M documents. Each layer picks the tool that dominates its slot.
Ships a production RAG pipeline in a week. Each tool handles one job.
- 1Unstructured.io
Parse PDFs, HTML, Word, PowerPoint. Outputs clean JSON with element types (title, table, list-item).
- 2Voyage AI
Embed chunks with voyage-3-large. 1024-dim vectors, best-in-class retrieval on English.
- 3Pinecone
Store vectors in Pinecone serverless. Auto-scales; hybrid search built in.
- 4Cohere
Rerank top 50 with Cohere Rerank 3. Boosts precision from 40% → 75% on hard queries.
- 5Claude
Feed top 10 reranked results to Claude Sonnet 5 with citation instructions. Return grounded, cited answer.