Commit Graph

2 Commits

Author SHA1 Message Date
Benjamin Admin 75dda9ac92 feat(embedding): add pdfplumber backend for multi-column PDF extraction
EU Official Journal PDFs (AI Act, CRA, NIS2, DSGVO, etc.) use
multi-column layouts that pypdf breaks into fragmented words
("Ar tik el" instead of "Artikel"). pdfplumber handles these correctly.

Backend priority: unstructured > pdfplumber > pypdf (auto mode).
Also increases D5 re-ingestion timeout to 3600s for large PDFs.

58 embedding-service tests passing. pdfplumber: MIT license.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-05-02 15:42:25 +02:00
Benjamin Admin ddad58f607 fix(rag): strip HTML tags before chunking + D5 re-ingestion scripts
HTML files from gesetze-im-internet.de were decoded as raw UTF-8, keeping
<div>/<p> tags intact. The legal chunker regex requires § at line start,
which never matched inside HTML tags → 0% section metadata for HTML docs.

Fix: detect HTML content and strip tags before sending to embedding
service. Block elements become newlines, entities are decoded.
§ signs now appear at line starts → section detection works.

Also adds D5 re-ingestion scripts (reingest_d5.py + config) for
batch re-processing of all documents in Qdrant collections.

27 rag-service tests passing.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-05-02 08:18:25 +02:00