Create ingestion/document_processor.py
Browse files
src/ingestion/document_processor.py
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from langchain_community.document_loaders import PyPDFLoader
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from langchain_text_splitters import RecursiveCharacterTextSplitter
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from langchain_community.vectorstores import FAISS
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from config.config import Config
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class DocumentProcessor:
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def __init__(self, embeddings):
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self.embeddings = embeddings
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def process_pdfs(self, pdf_paths):
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try:
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documents = []
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for path in pdf_paths:
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loader = PyPDFLoader(path)
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documents.extend(loader.load())
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splitter = RecursiveCharacterTextSplitter(
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chunk_size=Config.CHUNK_SIZE,
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chunk_overlap=Config.CHUNK_OVERLAP
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)
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splits = splitter.split_documents(documents)
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return FAISS.from_documents(splits, self.embeddings)
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except Exception as e:
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raise RuntimeError(f"Document processing failed: {e}")
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