17c7f5033f
Decision (Q15 resolved): start with text-only via TEI + bge-m3 in Phase 3.1, prepare data shapes so Phase 3.2 (visual collection via infinity + jina-clip-v2) is a pure additive operation — no rename, no schema migration, no n8n rewiring. Concretely: - Qdrant collection renamed nexa_knowledge → nexa_knowledge_text (1024-dim for bge-m3) with modality-aware payload (modality, source_type, media_uri, graph_iri, content_hash, context). Visual placeholder schema committed alongside (qdrant_schema_visual.json, 768-dim, jina-clip-v2). - Image attachments captured in 3.1 are recorded in GraphDB as nexa:Note with nexa:modality "image" + nexa:pendingVisualIndex true; the 3.2 backfill workflow picks them up and embeds. No data lost between phases — the queue is the GraphDB itself. - RDF schema (docs/08) gains nexa:modality, nexa:mediaUri, nexa:vectorCollection, nexa:pendingVisualIndex from day one. - docs/02 roadmap split: 3.1 = text RAG (Path A), 3.2 = visual collection (Path C), 3.4 = Ontotext GraphDB. - docs/09 grows a "Phase add-on: visual collection (Phase 3.2)" section with the TEI→infinity swap, second collection create, LiteLLM second model registration, and the SPARQL-driven backfill query. - New open questions: Q16 (queue ergonomics + does SAIA already proxy an embed model?), Q17 (reuse Immich's CLIP for photo-library queries?). - docs/03 + CLAUDE.md updated so future runs use the new collection names and don't re-decide the staging.
nexa-core
Runtime artifacts for Nexa: n8n workflows, configuration, AI prompts, scripts.
📖 Documentation lives one level up in ../docs/.
Layout
n8n-workflows/— exported workflows (per phase). Imported into the running n8n.ai-prompts/— system prompts for SAIA / LiteLLM.config/— runtime config (agents.yaml,infra_manifest.yaml,qdrant_schema.json).scripts/— automation helpers (workflow backup, etc.)..env.example— bootstrap secrets only; runtime config lives in Qdrant_confignamespace.