mirror of
https://github.com/trustgraph-ai/trustgraph.git
synced 2026-07-22 19:51:02 +02:00
cd5580be59
1. Shared Provenance Module - URI generators, namespace constants,
triple builders, vocabulary bootstrap
2. Librarian - Emits document metadata to graph on processing
initiation (vocabulary bootstrap + PROV-O triples)
3. PDF Extractor - Saves pages as child documents, emits parent-child
provenance edges, forwards page IDs
4. Chunker - Saves chunks as child documents, emits provenance edges,
forwards chunk ID + content
5. Knowledge Extractors (both definitions and relationships):
- Link entities to chunks via SUBJECT_OF (not top-level document)
- Removed duplicate metadata emission (now handled by librarian)
- Get chunk_doc_id and chunk_uri from incoming Chunk message
6. Embedding Provenance:
- EntityContext schema has chunk_id field
- EntityEmbeddings schema has chunk_id field
- Definitions extractor sets chunk_id when creating EntityContext
- Graph embeddings processor passes chunk_id through to
EntityEmbeddings
Provenance Flow:
Document → Page (PDF) → Chunk → Extracted Facts/Embeddings
↓ ↓ ↓ ↓
librarian librarian librarian (chunk_id reference)
+ graph + graph + graph
Each artifact is stored in librarian with parent-child linking, and PROV-O
edges are emitted to the knowledge graph for full traceability from any
extracted fact back to its source document.
Also, updating tests
|
||
|---|---|---|
| .. | ||
| __init__.py | ||
| __main__.py | ||
| blob_store.py | ||
| collection_manager.py | ||
| librarian.py | ||
| service.py | ||