auto-doc-loader 0.1.0

AutoLoader for structured and unstructured documents using LangChain

AutoLoader

AutoLoader is a Python utility that automatically loads and processes both structured and unstructured documents using the LangChain framework.

It supports:

• Structured files: CSV, Excel (.csv, .xlsx, .xls)
• Unstructured files: PDFs, Word docs, PowerPoints, Emails, and more

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📦 Features

• ✅ Load files from a single file or a directory
• ✅ Automatically detects file type
• ✅ Converts rows to langchain.schema.Document objects
• ✅ Extracts metadata (source file, sheet name)
• ✅ Logs file loading progress and errors
• ✅ Supports LangChain-compatible document structure

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🛠 Installation

pip install pandas langchain langchain-unstructured

🚀 Usage

from autoloader import AutoLoader

# Load from a single file or directory
loader = AutoLoader(path="./data")

# Process all supported files
documents = loader.load()

# Join and format documents into a single string
structured_docs = "\n\n".join(
    f"[Source: {doc.metadata.get('source', 'unknown')}]\n{doc.page_content}"
    for doc in documents
)

# Print the first 1000 characters
print(structured_docs[:1000])