SR Sam Rolfe AI · Platform · Edge

AI & Agentic Systems · Level 3 · artefact

Artefact — Retrieval corpus and query graph

Retrieval is filtered by metadata before it searches — a tagged corpus · a four-node LangGraph query graph · and a deliberate replacement of ChromaDB with Qdrant.

running 2020– 2 retrieval stores used over time
  • Qdrant
  • LangGraph
  • Prefect
  • n8n
  • ChromaDB

Artefact — Retrieval corpus and query graph

Status: stub. The query graph diagram and an ingest run log land later; this site’s own corpus build is Phase 4.

What the artefact is

The ingest and query path: documents are chunked and tagged with metadata at ingest, stored in Qdrant, and filtered on that metadata before a similarity search runs. The LangGraph graph has four nodes; the fourth decides whether the answer can be given from what was retrieved.

What it proves

Retrieval designed around payload filtering and a hard stop, plus the reasoning for moving off ChromaDB — heavier footprint and weaker filtering — recorded as a decision rather than a migration.

When it is delivered

The query graph diagram in Phase 7. The live demonstration of the same pattern is this site’s own retrieval, delivered in Phase 4 and Phase 5.

Artefacts behind this page

Referenced from

Status running — Running today.

Last verified 2026-10-26 · id ai-rag-corpus · ai/l3/ai-rag-corpus.md