System Design

Reusable RAG Delivery Foundation

A compact RAG architecture focused on the pieces that matter after launch: source ingestion, retrieval boundaries, cited answers, and observable failure states.

STEP 01

Ingest Sources

PDF and URL content enters through API routes with parsing, cleanup, and source metadata.

STEP 02

Chunk + Embed

Text is chunked for retrieval quality, then embedded with OpenAI embeddings.

STEP 03

Retrieve Evidence

Pinecone session namespaces return top context chunks for each user query.

STEP 04

Stream Answer

Chat responses stream back with citations, source tags, and fallback behavior when evidence is thin.

Rate Limits

Per-endpoint throttling controls abuse and API spend.

Request IDs

Every response includes X-Request-Id for incident tracing.

Metrics Snapshots

Runtime counters track success/error mix and average latency.