Why:
- The chunks collection needs four named vectors (dense_nomic, dense_openai,
sparse, late_interaction) and payload indexes defined at creation time per
ADR-0001; sparse/multivector fields cannot be added to an existing
collection without recreating it, so schema drift here is expensive.
- Creating it at FastAPI startup would mirror the DDL-at-boot anti-pattern
ADR-0009 already rejects for Postgres and ADR-0012 rejects for LangGraph's
setup(), so it is a deployment step instead.
Changes:
- src/infrastructure/qdrant/collection.py: ensure_chunks_collection(),
idempotent and schema-verifying (raises on dimension/modifier mismatch
rather than silently accepting a misconfigured collection).
- src/cli/qdrant_bootstrap.py: the operator entry point
(python -m src.cli.qdrant_bootstrap).
- QdrantSettings gains collection/upsert_batch_size/upsert_concurrency.
Impact:
- Deployments must run the new bootstrap command before the first upload;
see ADR-0001's new "Collection provisioning" section.
