- Q1 → Ontotext GraphDB (SPARQL). docs/08 fully rewritten with RDF schema,
example SPARQL queries (transitive deps via property paths, time-windowed
topic counts, cross-pillar joins via nexa:vectorId).
- Q2 → reuse qdrant_scientific with nexa_* collection prefix; docs/09 step 2
now points there explicitly.
- Q3 → no OpenAI embeddings. Self-host on the docker host. Use TEI
(HuggingFace text-embeddings-inference) — single Rust binary, ~500 MB image,
OpenAI-compatible — instead of Ollama, since we only need embeddings.
- docs/09 Phase-3.4 add-on simplified to a single Ontotext compose snippet
(Neo4j option dropped) plus repo creation curl.
- docs/11 Q3 marked resolved; new Q15 picks the model (bge-m3 vs nomic-embed)
and adds the open question of whether SAIA already proxies an embedding
model that would let us skip TEI entirely.
- docs/03 + CLAUDE.md updated with the new decisions so future runs don't
re-litigate.
Claude
a1e14c64c3