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/src/chunking/service.ts

@@ -30,10 +30,10 @@ export class ChunkingService extends FlowProcessor {
     super(config);
 
     this.registerSpecification(
-      new ConsumerSpec<TextDocument>("input", this.onMessage.bind(this)),
+      new ConsumerSpec<TextDocument>("chunk-input", this.onMessage.bind(this)),
     );
-    this.registerSpecification(new ProducerSpec<Chunk>("output"));
-    this.registerSpecification(new ProducerSpec<Triples>("triples"));
+    this.registerSpecification(new ProducerSpec<Chunk>("chunk-output"));
+    this.registerSpecification(new ProducerSpec<Triples>("chunk-triples"));
     this.registerSpecification(new ParameterSpec("chunk-size"));
     this.registerSpecification(new ParameterSpec("chunk-overlap"));
 
@@ -75,7 +75,7 @@ export class ChunkingService extends FlowProcessor {
       `[ChunkingService] Split document ${msg.documentId} into ${chunks.length} chunks (size=${chunkSize}, overlap=${chunkOverlap})`,
     );
 
-    const outputProducer = flowCtx.flow.producer<Chunk>("output");
+    const outputProducer = flowCtx.flow.producer<Chunk>("chunk-output");
 
     for (const chunkText of chunks) {
       const chunk: Chunk = {