Metadata Management and Filtering
Learn to extract and utilize document metadata for more precise filtering and targeted retrieval in your RAG system.
Boosting RAG with Metadata
When building Retrieval Augmented Generation (RAG) systems, it's not just about the text content itself. Information about the content, called metadata, is incredibly powerful.
Metadata helps us find exactly what we need, making our RAG responses more accurate and specific to the user's intent.
Understanding Document Metadata
Metadata is data that provides information about other data. For RAG, it's descriptive information about your documents or the smaller text chunks derived from them.
- Source: Where did this document originate (e.g., "internal-wiki", "news-feed")?
- Date: When was it created or last updated?
- Author: Who wrote it?
- Topic/Category: What subject does it cover?
- Security Level: Is it public, confidential, or internal?
All lessons in this course
- Loading Diverse Document Formats
- Context-Aware Chunking Strategies
- Metadata Management and Filtering
- Cleaning and Deduplicating Source Data