Woody b2dd385443 feat(backend): refactor ingest pipeline for page-aware chunking with PDF generation ... PDF uploads now use parse_pdf_by_page() -> chunk_pages() -> extract page PDFs -> enhanced metadata with page_number, chunk_file_path, and document_id. Same-filename replacement deletes old chunks and PDFs before re-ingest. DOCX/TXT keep original flat flow with document_id added. RAGService.ingest_document() accepts optional document_id parameter. Ultraworked with [Sisyphus](https://github.com/code-yeongyu/oh-my-openagent) Co-authored-by: Sisyphus <clio-agent@sisyphuslabs.ai>		2026-04-24 10:53:17 +08:00
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__init__.py	feat: Phase 1.1 project setup with config, database, and models	2026-04-22 16:13:52 +08:00
embedding_client.py	feat(backend): add embedding client and update LLM client	2026-04-23 13:26:43 +08:00
llm_client.py	debug(backend): add LLM request/response logging for OpenRouter debugging	2026-04-23 16:28:43 +08:00
query_decomposer.py	fix(backend): extract JSON from markdown code blocks in LLM responses	2026-04-23 16:28:07 +08:00
rag.py	feat(backend): refactor ingest pipeline for page-aware chunking with PDF generation	2026-04-24 10:53:17 +08:00
relevance_filter.py	fix(backend): extract JSON from markdown code blocks in LLM responses	2026-04-23 16:28:07 +08:00