Platform engineers evaluate RAG APIs on three axes: time to integrate, citation trust, and operational burden. Building pipelines checks the first box only if you ignore months of hidden work. This workflow gets you to a cited /v1/chat response without owning ingestion infrastructure.
The pipeline you are not building
A typical DIY stack includes upload workers, OCR, chunkers, embedders, vector indexes, rerankers, eval harnesses, and reindex cron jobs. Managed document Q&A collapses that into:
diagram
Your backend → Oprag /v1/chat → cited answer + sources
Documents live on Oprag’s AWS, isolated per project. You do not provision OpenSearch, Pinecone, or Bedrock Knowledge Bases in your account for the baseline path.
Minimal integration architecture
- Backend proxy — Your server holds the API key; browsers never see it
- Project per product or tenant — Keeps corpora and keys scoped
- Citation rendering — Your UI displays sources; Oprag returns structured citation metadata
User → Your app → POST /v1/chat (server-side) → Render answer + citations
Full request examples: API docs and REST integration guide.
Same schema from sandbox to production
Use one OpenAPI contract across environments. Swap API keys and project IDs — not response parsers. That reduces bugs when you promote from staging to prod.
When you still need custom logic
Keep retrieval on Oprag; add your own layers for:
- Auth and rate limits per end user
- Logging to your analytics warehouse
- Guardrails on outbound links
Avoid re-implementing chunking unless eval proves a doc-type-specific gap.
Security defaults
- Rotate keys on engineer offboarding
- Never log full user messages if your policy forbids it
- Read security for isolation model on Oprag’s AWS
B2B embed scenarios with many end customers: tenant-isolated RAG for B2B SaaS.
Evaluate build vs buy in one afternoon
- Upload a representative doc set
- Run 20 engineering FAQs in the dashboard
- Estimate weeks for DIY ingestion + citations
- Integrate the API stub if citations pass
Most teams ship the API path and revisit DIY only with measured retrieval gaps.