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Upload backend/main.py
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backend/main.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.embeddings import HuggingFaceEmbeddings
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from langchain_chroma import Chroma
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from dotenv import load_dotenv
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load_dotenv()
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def ingest_pdf(pdf_path: str):
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loader = PyPDFLoader(pdf_path)
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documents = loader.load()
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splitter = RecursiveCharacterTextSplitter(
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chunk_size=500,
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chunk_overlap=50
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)
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chunks = splitter.split_documents(documents)
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embeddings = HuggingFaceEmbeddings(
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model_name="all-MiniLM-L6-v2"
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)
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vectorstore = Chroma.from_documents(
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chunks,
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embeddings,
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persist_directory="chroma_db"
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)
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print(f"✅ Ingested {len(chunks)} chunks from {pdf_path}")
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if __name__ == "__main__":
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ingest_pdf("../docs/test.pdf")
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