1 files changed, 61 insertions, 0 deletions
diff --git a/rag/ingest.py b/rag/ingest.py
new file mode 100644
index 0000000..d17690a
--- /dev/null
+++ b/rag/ingest.py
@@ -0,0 +1,61 @@
+# from rag.rerank import search_hybrid
+import sqlite3
+import torch
+from docling_core.transforms.chunker.hybrid_chunker import HybridChunker
+from pathlib import Path
+from docling.document_converter import DocumentConverter
+from docling_core.transforms.chunker.tokenizer.huggingface import HuggingFaceTokenizer
+from rag.db import get_db, init_schema, store_chunks
+from sentence_transformers import SentenceTransformer
+
+EMBED_MODEL_ID = "Qwen/Qwen3-Embedding-8B"
+RERANKER_MODEL_ID = "Qwen/Qwen3-Reranker-8B"
+MAX_TOKENS = 600
+BATCH = 16
+  
+
+def get_embed_model():
+  return SentenceTransformer(
+      "Qwen/Qwen3-Embedding-8B",
+      model_kwargs={
+       # "trust_remote_code":True,
+       "attn_implementation":"flash_attention_2",
+      "device_map":"auto",
+      "dtype":torch.float16
+    }, tokenizer_kwargs={"padding_side": "left"}
+  )
+  
+
+def parse_and_chunk(source: Path, model: SentenceTransformer)-> list[str]:
+  tokenizer = HuggingFaceTokenizer(tokenizer=model.tokenizer, max_tokens=MAX_TOKENS)
+
+  converter = DocumentConverter()
+  doc = converter.convert(source)
+  chunker = HybridChunker(tokenizer=tokenizer, merge_peers=True)
+  out = []
+  for ch in chunker.chunk(doc.document):
+    txt = chunker.contextualize(ch)
+    if txt.strip():
+      out.append(txt)
+  return out
+
+def embed_many(model: SentenceTransformer, texts: list[str]):
+  V_np = model.encode(texts,
+                   batch_size=BATCH,
+                    normalize_embeddings=True,
+                    convert_to_numpy=True,
+                    show_progress_bar=True)
+  return V_np.astype("float32")
+  
+
+def start_ingest(db: sqlite3.Connection, path: Path):
+  model = get_embed_model()
+  chunks = parse_and_chunk(path, model)
+  V_np = embed_many(model, chunks)
+  DIM = V_np.shape[1]
+  db = get_db()
+  init_schema(db, DIM)
+  store_chunks(db, chunks, V_np)
+  # TODO some try catch?
+  return True
+# float32/fp16 on CPU? ensure float32 for DB: