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LLM Apps in Production (RAG + Vector DB + Caching) · Lesson

Loading Diverse Document Formats

Explore methods for ingesting data from various sources like PDFs, web pages, databases, and custom file types.

Ingesting Diverse Document Types

Welcome! In RAG, your LLM needs information from various sources. This lesson explores how to load data from different document formats into your application.

The goal is to get raw text from places like web pages, PDFs, and databases, preparing it for the next steps in your RAG pipeline.

Loading Web Pages (HTML)

Web pages are a common source of information. To ingest them, you typically:

  • Fetch the HTML: Use an HTTP client to download the page content from a URL.
  • Parse the HTML: Extract the main text and discard navigation, ads, and other irrelevant elements.

Libraries like requests for fetching and BeautifulSoup for parsing are very popular in Python.

All lessons in this course

  1. Loading Diverse Document Formats
  2. Context-Aware Chunking Strategies
  3. Metadata Management and Filtering
  4. Cleaning and Deduplicating Source Data
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