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Build with PureCPP

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Quickstart Guide

Welcome to the Quickstart Guide for PureCPP, your all-in-one solution for building Retrieval-Augmented Generation (RAG) pipelines with ease and efficiency. This guide will walk you through the steps to get started quickly.

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Prerequisites

Before you begin, ensure your environment meets the following requirements:
  • Python 3.9, 3.10, 3.11: PureCPP is compatible with the latest versions of Python.
  • Linux/WSL support: The library is fully compatible with Linux-based systems and Windows Subsystem for Linux (WSL).
  • pip: Ensure pip is installed and updated to the latest version.
Install the purecpp Python package: 
pip install purecpp

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Introduction - Data Loader

Data loaders convert raw data into the standardized PureAI format, ensuring consistency across different data sources. Each loader follows a unified structure, offering a consistent set of methods and a seamless usage experience.

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Install

Before you begin, ensure your environment meets the following requirements:
  • Python 3.9, 3.10, 3.11: PureCPP is compatible with the latest versions of Python.
  • Linux/WSL support: The library is fully compatible with Linux-based systems and Windows Subsystem for Linux (WSL).
  • pip: Ensure pip is installed and updated to the latest version.
Install the purecpp Python package: 
pip install purecpp

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Loaders

The library currently includes four loaders: WebLoader, TXTLoader, DOCXLoader, and PDFLoader.
Document LoaderDescription
WebLoaderLoads and processes HTML web pages.
TXTLoaderLoads and processes text (.txt) files.
PDFLoaderLoads and processes text from PDF documents.
DOCXLoaderLoads and processes from Microsoft Word (.docx) files.

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Quickstart Guide

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WEB Loader

Get started with the WebLoader to process HTML web pages: 
from purecpp import WebLoader

# Initialize the WebLoader
loader = WebLoader()

# Load content from a URL
url = "https://example.com"
documents = loader.load(url)

# Process the loaded documents
for doc in documents:
    print(f"Title: {doc.metadata['title']}")
    print(f"Content: {doc.page_content[:200]}...")

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Next Steps

Explore more loaders and advanced features:

WebLoader

Load and process HTML web pages

TXTLoader

Process plain text files

PDFLoader

Extract content from PDF documents

DOCXLoader

Process Microsoft Word documents