Add Bangla model API

ingestion.py

@@ -0,0 +1,29 @@
+import os
+from langchain_community.document_loaders import PyPDFLoader
+from langchain.text_splitter import RecursiveCharacterTextSplitter
+from langchain_community.vectorstores import FAISS
+from langchain_huggingface import HuggingFaceEmbeddings
+from config import VECTOR_DIR, EMBED_MODEL
+
+def ingest_pdf(pdf_path: str) -> str:
+    """
+    Load PDF, split into chunks, embed, and store in FAISS.
+    Overwrites previous FAISS index.
+    """
+    if not os.path.exists(pdf_path):
+        return "PDF file not found."
+
+    # Load PDF
+    loader = PyPDFLoader(pdf_path)
+    docs = loader.load()
+
+    # Split text
+    splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=200)
+    chunks = splitter.split_documents(docs)
+
+    # Embeddings + FAISS
+    embeddings = HuggingFaceEmbeddings(model_name=EMBED_MODEL)
+    vectordb = FAISS.from_documents(chunks, embeddings)
+    vectordb.save_local(VECTOR_DIR)
+
+    return f"Indexed {len(chunks)} chunks successfully."