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>
This commit is contained in:
elpresidank 2026-04-06 23:47:43 -05:00
parent 8f9de7604e
commit 8f7008822a
20 changed files with 894 additions and 37 deletions

View file

@ -151,6 +151,12 @@ export interface PipelineMetadata {
collection: string;
}
/** Document message — triggers the decode pipeline for a librarian document. */
export interface Document {
metadata: PipelineMetadata;
documentId: string;
}
export interface TextDocument {
metadata: PipelineMetadata;
text: string;