feat: add document pipeline — PDF decoder, Ollama LLM, storage services

Add end-to-end document processing pipeline:
- PDF decoder service (pdfjs-dist) extracts text per page from librarian docs
- Ollama native LLM service for local model inference
- FalkorDB triples store FlowProcessor consumer
- Qdrant graph embeddings store FlowProcessor consumer
- Fix spec name collisions in chunker/extractor (input→chunk-input, etc.)
- Gateway /load endpoint to trigger document processing
- Align flow manager blueprint and seed config with full pipeline topics
- Add runner scripts and test coverage for document load

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

ts/packages/flow/package.json

@@ -11,13 +11,15 @@
     "test": "vitest run"
   },
   "dependencies": {
-    "@trustgraph/base": "workspace:*",
-    "openai": "^4.85.0",
     "@anthropic-ai/sdk": "^0.39.0",
+    "@fastify/websocket": "^11.0.0",
     "@qdrant/js-client-rest": "^1.13.0",
+    "@trustgraph/base": "workspace:*",
     "falkordb": "^5.0.0",
     "fastify": "^5.2.0",
-    "@fastify/websocket": "^11.0.0"
+    "ollama": "^0.6.3",
+    "openai": "^4.85.0",
+    "pdfjs-dist": "^5.6.205"
   },
   "devDependencies": {
     "typescript": "^5.8.0",