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Retrieval-Augmented Generation (RAG)

Metadata Filtering

Metadata filtering means narrowing search results using extra information like category, date, author, or source.

This is a simple learning demo. Real RAG systems may use more advanced filters.

Interactive Playground
Live Visualization

Stage 1 · Apply Metadata Filter

Stage 2 · Search Filtered Documents

Document Dataset

Statistics

6
Total Docs
6
After Filter
0
Filtered Out
—
Best Match
None
Active Filters

How It Works

❓
Question
→
🗂️
Apply Metadata
Filter
→
🔍
Search Remaining
Documents
→
🎯
Retrieve
Best Match
Filter first, then search. Narrowing by category or year shrinks the search space before matching happens.
Filters can hide the best answer. If you filter too strictly, the right document may get excluded entirely, try clearing a filter to see.
This demo uses simple keyword overlap for search. Real RAG systems combine metadata filters with vector similarity search.
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Key Takeaway

Metadata filtering helps RAG search the right subset of documents before looking for the best answer.

Previous: Document Chunking & Overlap Next: Embeddings in RAG