# Studio RAG dependencies.
# Installed by studio/install_python_stack.py in the normal (with-torch)
# path. Skipped in NO_TORCH (Intel Mac GGUF-only) mode because RAG
# embedding relies on sentence-transformers, which requires torch.

# Vector store + lexical index.
#
# sqlite-vec is an Apache-2.0 SQLite extension (asg017/sqlite-vec) that
# adds vector functions (vec_distance_cosine, serialize_float32, vec0
# virtual tables). The studio loads it into a dedicated rag.db file and
# stores vectors as BLOB columns alongside the RAG metadata — no separate
# vector server, no second client library. The lexical index lives in the
# same rag.db as a SQLite FTS5 virtual table (built-in, no extra dependency).
sqlite-vec>=0.1.5

# Image preprocessing helpers required by Qwen3-VL-Embedding-2B (the
# multimodal embedder). Not used in text-only mode.
qwen-vl-utils>=0.0.14

# Layout-aware Markdown extraction (Phase 3A) so the chunker can split
# on real headings instead of running paragraphs together. pymupdf4llm
# preserves headings + pipe-tables; mammoth handles DOCX Heading styles;
# markdownify converts HTML <h*>/<table>/<ul> faithfully.
pymupdf>=1.24
pymupdf4llm>=0.0.17
mammoth>=1.7
markdownify>=0.13

# pypdf is kept as a fallback for malformed PDFs that defeat pymupdf.
pypdf>=4.0
python-docx>=1.1
beautifulsoup4>=4.12
lxml>=5.0
chardet>=5.2